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Author SHA1 Message Date
Rodin ced1fa7ffd ci: fix model names to match SAP AI Core deployments
CI / test (pull_request) Successful in 14s
CI / review (/anthropic/v1, anthropic--claude-4.6-sonnet, sonnet, anthropic, SONNET_REVIEW_TOKEN) (pull_request) Successful in 26s
CI / review (/openai/v1, gpt-5, security, openai, SECURITY_REVIEW.md, SECURITY_REVIEW_TOKEN) (pull_request) Successful in 35s
CI / review (/openai/v1, gpt-5, gpt, openai, GPT_REVIEW_TOKEN) (pull_request) Successful in 50s
- Restore sonnet reviewer with correct model name (anthropic--claude-4.6-sonnet)
- Remove gpt-4.1, gpt-4.1-mini, gpt-5-mini (not deployed on SAP AI Core)
- Keep gpt-5 and security reviewers

The previous model names (claude-sonnet-4-6, etc.) were incorrect —
SAP AI Core uses 'anthropic--claude-4.6-sonnet' format.
2026-05-10 08:23:10 -07:00
Rodin 6b615c77d5 ci: remove unavailable models from review matrix
CI / test (pull_request) Successful in 15s
CI / review (/openai/v1, gpt-5, security, openai, SECURITY_REVIEW.md, SECURITY_REVIEW_TOKEN) (pull_request) Successful in 38s
CI / review (/openai/v1, gpt-5, gpt, openai, GPT_REVIEW_TOKEN) (pull_request) Successful in 49s
Models claude-sonnet-4-6, gpt-4.1, gpt-4.1-mini, and gpt-5-mini are not
deployed on the LLM proxy, causing 502 errors. Keep only gpt-5 which
is the only available model.
2026-05-10 03:15:04 -07:00
Rodin b43b86a4a5 fix: skip posting review when HEAD moves during evaluation
CI / test (pull_request) Successful in 13s
CI / review (/anthropic/v1, claude-sonnet-4-6, sonnet, anthropic, SONNET_REVIEW_TOKEN) (pull_request) Failing after 13s
CI / review (/openai/v1, gpt-4.1, gpt41, openai, GPT_REVIEW_TOKEN) (pull_request) Failing after 13s
CI / review (/openai/v1, gpt-4.1-mini, gpt41-mini, openai, GPT_REVIEW_TOKEN) (pull_request) Failing after 13s
CI / review (/openai/v1, gpt-5-mini, gpt5-mini, openai, GPT_REVIEW_TOKEN) (pull_request) Failing after 13s
CI / review (/openai/v1, gpt-5, security, openai, SECURITY_REVIEW.md, SECURITY_REVIEW_TOKEN) (pull_request) Successful in 53s
CI / review (/openai/v1, gpt-5, gpt, openai, GPT_REVIEW_TOKEN) (pull_request) Successful in 1m3s
When a new push arrives while review-bot is processing, the review
would be posted against a stale commit. This causes noise in the
PR timeline with findings that reference code that no longer exists.

Before posting, re-fetch PR metadata and compare HEAD SHA with the
commit we evaluated against. If they differ, log a warning and exit
successfully — a new workflow run should already be processing the
new HEAD.

Fixes #52
2026-05-09 23:18:13 -07:00
8 changed files with 114 additions and 1067 deletions
+6 -33
View File
@@ -26,40 +26,18 @@ inputs:
required: false
default: ''
llm-base-url:
description: 'OpenAI-compatible LLM API base URL (not required for aicore provider)'
required: false
default: ''
description: 'OpenAI-compatible LLM API base URL'
required: true
llm-api-key:
description: 'LLM API key (not required for aicore provider)'
required: false
default: ''
description: 'LLM API key'
required: true
llm-model:
description: 'LLM model name'
required: true
llm-provider:
description: 'LLM API provider: openai, anthropic, or aicore (default openai)'
description: 'LLM API provider: openai or anthropic (default openai)'
required: false
default: 'openai'
aicore-client-id:
description: 'SAP AI Core client ID (required for aicore provider)'
required: false
default: ''
aicore-client-secret:
description: 'SAP AI Core client secret (required for aicore provider)'
required: false
default: ''
aicore-auth-url:
description: 'SAP AI Core authentication URL (required for aicore provider)'
required: false
default: ''
aicore-api-url:
description: 'SAP AI Core API URL (required for aicore provider)'
required: false
default: ''
aicore-resource-group:
description: 'SAP AI Core resource group (default: default)'
required: false
default: 'default'
default: 'openai'
conventions-file:
description: 'Path to conventions file in the repo (e.g. CLAUDE.md)'
required: false
@@ -177,11 +155,6 @@ runs:
LLM_PROVIDER: ${{ inputs.llm-provider }}
UPDATE_EXISTING: ${{ inputs.update-existing }}
SYSTEM_PROMPT_FILE: ${{ inputs.system-prompt-file }}
AICORE_CLIENT_ID: ${{ inputs.aicore-client-id }}
AICORE_CLIENT_SECRET: ${{ inputs.aicore-client-secret }}
AICORE_AUTH_URL: ${{ inputs.aicore-auth-url }}
AICORE_API_URL: ${{ inputs.aicore-api-url }}
AICORE_RESOURCE_GROUP: ${{ inputs.aicore-resource-group }}
run: |
ARGS=""
if [ "${{ inputs.dry-run }}" = "true" ]; then
+11 -10
View File
@@ -18,10 +18,8 @@ jobs:
- run: go vet ./...
- run: go build -o review-bot ./cmd/review-bot
# Self-review using native SAP AI Core provider
# Models must match SAP AI Core deployments
# Available models: gpt-5, anthropic--claude-4.6-sonnet, anthropic--claude-4.6-opus
# Removed gpt-4.1, gpt-5-mini, gpt-4.1-mini - not deployed on AI Core
# Self-review: builds from source since we're pre-release
# Models configured to match SAP AI Core deployments
review:
runs-on: ubuntu-24.04
if: github.event_name == 'pull_request'
@@ -31,12 +29,18 @@ jobs:
include:
- name: sonnet
token_secret: SONNET_REVIEW_TOKEN
provider: anthropic
llm_path: /anthropic/v1
model: anthropic--claude-4.6-sonnet
- name: gpt
token_secret: GPT_REVIEW_TOKEN
provider: openai
llm_path: /openai/v1
model: gpt-5
- name: security
token_secret: SECURITY_REVIEW_TOKEN
provider: openai
llm_path: /openai/v1
model: gpt-5
system_prompt_file: SECURITY_REVIEW.md
steps:
@@ -52,13 +56,10 @@ jobs:
PR_NUMBER: ${{ github.event.pull_request.number }}
REVIEWER_TOKEN: ${{ secrets[matrix.token_secret] }}
REVIEWER_NAME: ${{ matrix.name }}
LLM_PROVIDER: aicore
LLM_BASE_URL: ${{ secrets.LLM_BASE_URL }}${{ matrix.llm_path }}
LLM_API_KEY: ${{ secrets.LLM_API_KEY }}
LLM_MODEL: ${{ matrix.model }}
AICORE_CLIENT_ID: ${{ secrets.AICORE_CLIENT_ID }}
AICORE_CLIENT_SECRET: ${{ secrets.AICORE_CLIENT_SECRET }}
AICORE_AUTH_URL: ${{ secrets.AICORE_AUTH_URL }}
AICORE_API_URL: ${{ secrets.AICORE_API_URL }}
AICORE_RESOURCE_GROUP: ${{ secrets.AICORE_RESOURCE_GROUP }}
LLM_PROVIDER: ${{ matrix.provider }}
CONVENTIONS_FILE: "CONVENTIONS.md"
PATTERNS_REPO: "rodin/go-patterns"
PATTERNS_FILES: "README.md,patterns/"
+4 -32
View File
@@ -4,7 +4,7 @@ AI-powered code review bot for Gitea pull requests. Fetches diff + context, send
## Features
- **Multi-provider**: OpenAI-compatible, Anthropic Messages API, and SAP AI Core
- **Multi-provider**: OpenAI-compatible and Anthropic Messages API
- **Context-aware**: Fetches full file content, conventions, language patterns, CI status
- **Smart budget**: Automatically trims context to fit model token limits
- **Idempotent reviews**: Posts new review, then cleans up stale ones (one review per bot)
@@ -168,41 +168,16 @@ Prints the review to CI logs without posting to the PR. Useful for testing promp
llm-provider: anthropic
```
### Using SAP AI Core
For SAP environments with AI Core deployments, use the `aicore` provider for native authentication:
```yaml
- uses: https://gitea.weiker.me/rodin/review-bot/.gitea/actions/review@v0.1.0
with:
reviewer-token: ${{ secrets.REVIEW_TOKEN }}
reviewer-name: aicore-review
llm-model: anthropic--claude-4.6-sonnet # or gpt-5
llm-provider: aicore
aicore-client-id: ${{ secrets.AICORE_CLIENT_ID }}
aicore-client-secret: ${{ secrets.AICORE_CLIENT_SECRET }}
aicore-auth-url: ${{ secrets.AICORE_AUTH_URL }}
aicore-api-url: ${{ secrets.AICORE_API_URL }}
aicore-resource-group: default
```
AI Core handles OAuth token management and deployment discovery automatically. Model names must match the deployment name in AI Core (e.g. `anthropic--claude-4.6-sonnet`, `gpt-5`).
## Action Inputs
| Input | Required | Default | Description |
|-------|----------|---------|-------------|
| `reviewer-token` | Yes | — | Gitea token for posting reviews (needs `write:issue`, `write:repository`) |
| `reviewer-name` | No | `""` | Logical identity for this reviewer. Used as sentinel for idempotent cleanup. Set this when running multiple review bots on the same PR. |
| `llm-base-url` | No* | `""` | LLM API base URL (required unless using aicore provider) |
| `llm-api-key` | No* | `""` | LLM API key (required unless using aicore provider) |
| `llm-base-url` | Yes | — | LLM API base URL |
| `llm-api-key` | Yes | — | LLM API key |
| `llm-model` | Yes | — | Model name |
| `llm-provider` | No | `openai` | API provider: `openai`, `anthropic`, or `aicore` |
| `aicore-client-id` | No** | `""` | SAP AI Core client ID |
| `aicore-client-secret` | No** | `""` | SAP AI Core client secret |
| `aicore-auth-url` | No** | `""` | SAP AI Core authentication URL |
| `aicore-api-url` | No** | `""` | SAP AI Core API URL |
| `aicore-resource-group` | No | `default` | SAP AI Core resource group |
| `llm-provider` | No | `openai` | API provider: `openai` or `anthropic` |
| `conventions-file` | No | `""` | Path to coding conventions file in the repo |
| `patterns-repo` | No | `""` | Comma-separated repos with language patterns (e.g. `rodin/go-patterns`) |
| `patterns-files` | No | `README.md` | Files/directories to fetch from pattern repos |
@@ -213,9 +188,6 @@ AI Core handles OAuth token management and deployment discovery automatically. M
| `update-existing` | No | `true` | Delete previous review from same bot before posting. Accepts: true/1/yes or false/0/no |
| `version` | No | `latest` | review-bot version to install |
*Required for `openai` and `anthropic` providers, not for `aicore`.
**Required only for `aicore` provider.
## Runner Requirements
The composite action requires these tools on the runner:
+36 -30
View File
@@ -69,13 +69,7 @@ func main() {
dryRun := flag.Bool("dry-run", false, "Print review to stdout instead of posting")
llmTemp := flag.Float64("llm-temperature", envOrDefaultFloat("LLM_TEMPERATURE", 0), "LLM temperature (0 = server default)")
llmTimeout := flag.Int("llm-timeout", envOrDefaultInt("LLM_TIMEOUT", 300), "LLM request timeout in seconds (default 300)")
llmProvider := flag.String("llm-provider", envOrDefault("LLM_PROVIDER", "openai"), "LLM API provider: openai, anthropic, or aicore")
// AI Core specific flags (only used when provider=aicore)
aicoreClientID := flag.String("aicore-client-id", envOrDefault("AICORE_CLIENT_ID", ""), "SAP AI Core client ID (for provider=aicore)")
aicoreClientSecret := flag.String("aicore-client-secret", envOrDefault("AICORE_CLIENT_SECRET", ""), "SAP AI Core client secret (for provider=aicore)")
aicoreAuthURL := flag.String("aicore-auth-url", envOrDefault("AICORE_AUTH_URL", ""), "SAP AI Core auth URL (for provider=aicore)")
aicoreAPIURL := flag.String("aicore-api-url", envOrDefault("AICORE_API_URL", ""), "SAP AI Core API URL (for provider=aicore)")
aicoreResourceGroup := flag.String("aicore-resource-group", envOrDefault("AICORE_RESOURCE_GROUP", "default"), "SAP AI Core resource group (for provider=aicore)")
llmProvider := flag.String("llm-provider", envOrDefault("LLM_PROVIDER", "openai"), "LLM API provider: openai or anthropic")
flag.Parse()
@@ -90,20 +84,10 @@ func main() {
slog.Info("review-bot starting", "version", version)
// Validate required fields
// For aicore provider, llm-base-url and llm-api-key are not required
isAICore := llm.Provider(*llmProvider) == llm.ProviderAICore
if *giteaURL == "" || *repo == "" || *prNum == "" || *reviewerToken == "" || *llmModel == "" {
if *giteaURL == "" || *repo == "" || *prNum == "" || *reviewerToken == "" ||
*llmBaseURL == "" || *llmAPIKey == "" || *llmModel == "" {
fmt.Fprintf(os.Stderr, "Error: missing required flags or environment variables\n\n")
fmt.Fprintf(os.Stderr, "Required: --gitea-url, --repo, --pr, --reviewer-token, --llm-model\n")
os.Exit(1)
}
if !isAICore && (*llmBaseURL == "" || *llmAPIKey == "") {
fmt.Fprintf(os.Stderr, "Error: --llm-base-url and --llm-api-key are required for provider=%s\n", *llmProvider)
os.Exit(1)
}
if isAICore && (*aicoreClientID == "" || *aicoreClientSecret == "" || *aicoreAuthURL == "" || *aicoreAPIURL == "") {
fmt.Fprintf(os.Stderr, "Error: AI Core credentials required for provider=aicore\n\n")
fmt.Fprintf(os.Stderr, "Required: --aicore-client-id, --aicore-client-secret, --aicore-auth-url, --aicore-api-url\n")
fmt.Fprintf(os.Stderr, "Required: --gitea-url, --repo, --pr, --reviewer-token, --llm-base-url, --llm-api-key, --llm-model\n")
os.Exit(1)
}
@@ -141,17 +125,8 @@ func main() {
switch llm.Provider(*llmProvider) {
case llm.ProviderOpenAI, llm.ProviderAnthropic:
llmClient.WithProvider(llm.Provider(*llmProvider))
case llm.ProviderAICore:
llmClient.WithAICore(llm.AICoreConfig{
ClientID: *aicoreClientID,
ClientSecret: *aicoreClientSecret,
AuthURL: *aicoreAuthURL,
APIURL: *aicoreAPIURL,
ResourceGroup: *aicoreResourceGroup,
})
slog.Info("using SAP AI Core provider", "resource_group", *aicoreResourceGroup)
default:
slog.Error("invalid LLM provider", "provider", *llmProvider, "valid", "openai, anthropic, aicore")
slog.Error("invalid LLM provider", "provider", *llmProvider, "valid", "openai, anthropic")
os.Exit(1)
}
if *llmTimeout > 0 {
@@ -340,6 +315,24 @@ func main() {
sentinel := fmt.Sprintf("<!-- review-bot:%s -->", *reviewerName)
// Stale check: verify HEAD hasn't moved since we started
evaluatedSHA := pr.Head.Sha
var currentSHA string
currentPR, err := giteaClient.GetPullRequest(ctx, owner, repoName, prNumber)
if err != nil {
slog.Warn("could not re-fetch PR for stale check", "pr", prNumber, "error", err)
// currentSHA stays empty — shouldSkipStaleReview will return false
} else {
currentSHA = currentPR.Head.Sha
}
if shouldSkipStaleReview(evaluatedSHA, currentSHA) {
slog.Warn("HEAD moved during review — skipping stale review",
"evaluated", evaluatedSHA,
"current", currentSHA,
"pr", prNumber)
return
}
// Map findings to inline comments for lines present in the diff
diffRanges := gitea.ParseDiffNewLines(diff)
var inlineComments []gitea.ReviewComment
@@ -691,3 +684,16 @@ func findAllOwnReviews(reviews []gitea.Review, sentinel string) []gitea.Review {
}
return result
}
// shouldSkipStaleReview reports whether to skip posting because HEAD moved.
// Returns true (skip) if evaluatedSHA differs from currentSHA.
// Returns false (don't skip) if:
// - SHAs match (no movement)
// - currentSHA is empty (re-fetch failed; prefer posting stale over failing)
func shouldSkipStaleReview(evaluatedSHA, currentSHA string) bool {
if currentSHA == "" {
// Re-fetch failed; better to post potentially stale than fail
return false
}
return evaluatedSHA != currentSHA
}
+50
View File
@@ -862,3 +862,53 @@ func TestFindAllOwnReviews(t *testing.T) {
}
}
}
func TestShouldSkipStaleReview(t *testing.T) {
tests := []struct {
name string
evaluatedSHA string
currentSHA string
wantSkip bool
}{
{
name: "matching SHAs",
evaluatedSHA: "abc123def456",
currentSHA: "abc123def456",
wantSkip: false,
},
{
name: "different SHAs",
evaluatedSHA: "abc123def456",
currentSHA: "xyz789abc123",
wantSkip: true,
},
{
name: "empty current SHA (re-fetch failed)",
evaluatedSHA: "abc123def456",
currentSHA: "",
wantSkip: false,
},
{
name: "both empty (edge case)",
evaluatedSHA: "",
currentSHA: "",
wantSkip: false,
},
{
name: "only current empty",
evaluatedSHA: "abc123",
currentSHA: "",
wantSkip: false,
},
}
for _, tc := range tests {
t.Run(tc.name, func(t *testing.T) {
got := shouldSkipStaleReview(tc.evaluatedSHA, tc.currentSHA)
if got != tc.wantSkip {
t.Errorf("shouldSkipStaleReview(%q, %q) = %v, want %v",
tc.evaluatedSHA, tc.currentSHA, got, tc.wantSkip)
}
})
}
}
-389
View File
@@ -1,389 +0,0 @@
package llm
import (
"bytes"
"context"
"encoding/json"
"fmt"
"io"
"net/http"
"net/url"
"strings"
"sync"
"time"
)
// AICoreOpenAIAPIVersion is the API version used for OpenAI models through AI Core.
// Update this when SAP AI Core releases a new stable version.
const AICoreOpenAIAPIVersion = "2024-12-01-preview"
// maxErrorBodyLen limits the length of response bodies included in error messages
// to prevent leaking potentially sensitive upstream details in logs.
const maxErrorBodyLen = 200
// AICoreConfig holds SAP AI Core authentication and connection settings.
type AICoreConfig struct {
ClientID string
ClientSecret string
AuthURL string
APIURL string
ResourceGroup string
}
// AICoreClient wraps AI Core authentication and deployment discovery.
// Thread-safe for concurrent use after construction.
//
// Note: The deployment cache is populated once and never invalidated. This is
// acceptable for short-lived CI runner processes, but longer-lived deployments
// may want to add a TTL or re-fetch on errors. See issue #54 review discussion.
type AICoreClient struct {
config AICoreConfig
http *http.Client
mu sync.RWMutex
token string
tokenExpiry time.Time
deployments map[string]string // model name -> deployment URL
}
// NewAICoreClient creates a new AI Core client with the given configuration.
// The client uses a default 5-minute timeout; use WithTimeout to customize.
func NewAICoreClient(cfg AICoreConfig) *AICoreClient {
return &AICoreClient{
config: cfg,
http: &http.Client{Timeout: 5 * time.Minute},
deployments: make(map[string]string),
}
}
// WithTimeout sets the HTTP request timeout for AI Core calls.
// This should be called during construction, before concurrent use.
func (c *AICoreClient) WithTimeout(d time.Duration) *AICoreClient {
c.http.Timeout = d
return c
}
// truncateBody truncates a response body for inclusion in error messages.
// This prevents leaking potentially sensitive upstream response details in logs.
func truncateBody(body []byte) string {
if len(body) <= maxErrorBodyLen {
return string(body)
}
return string(body[:maxErrorBodyLen]) + "..."
}
// getToken returns a valid OAuth token, refreshing if necessary.
func (c *AICoreClient) getToken(ctx context.Context) (string, error) {
c.mu.RLock()
if c.token != "" && time.Now().Add(5*time.Minute).Before(c.tokenExpiry) {
token := c.token
c.mu.RUnlock()
return token, nil
}
c.mu.RUnlock()
c.mu.Lock()
defer c.mu.Unlock()
// Double-check after acquiring write lock
if c.token != "" && time.Now().Add(5*time.Minute).Before(c.tokenExpiry) {
return c.token, nil
}
token, expiry, err := c.fetchToken(ctx)
if err != nil {
return "", err
}
c.token = token
c.tokenExpiry = expiry
return token, nil
}
func (c *AICoreClient) fetchToken(ctx context.Context) (string, time.Time, error) {
tokenURL := strings.TrimRight(c.config.AuthURL, "/") + "/oauth/token"
data := url.Values{}
data.Set("grant_type", "client_credentials")
data.Set("client_id", c.config.ClientID)
data.Set("client_secret", c.config.ClientSecret)
req, err := http.NewRequestWithContext(ctx, http.MethodPost, tokenURL, strings.NewReader(data.Encode()))
if err != nil {
return "", time.Time{}, fmt.Errorf("create token request: %w", err)
}
req.Header.Set("Content-Type", "application/x-www-form-urlencoded")
resp, err := c.http.Do(req)
if err != nil {
return "", time.Time{}, fmt.Errorf("token request: %w", err)
}
defer resp.Body.Close()
body, err := io.ReadAll(resp.Body)
if err != nil {
return "", time.Time{}, fmt.Errorf("read token response: %w", err)
}
if resp.StatusCode < 200 || resp.StatusCode >= 300 {
return "", time.Time{}, fmt.Errorf("token request failed (status %d): %s", resp.StatusCode, truncateBody(body))
}
var tokenResp struct {
AccessToken string `json:"access_token"`
ExpiresIn int `json:"expires_in"`
}
if err := json.Unmarshal(body, &tokenResp); err != nil {
return "", time.Time{}, fmt.Errorf("parse token response: %w", err)
}
if tokenResp.AccessToken == "" {
return "", time.Time{}, fmt.Errorf("empty access token in response")
}
expiry := time.Now().Add(time.Duration(tokenResp.ExpiresIn) * time.Second)
return tokenResp.AccessToken, expiry, nil
}
// getDeploymentURL returns the deployment URL for a model, fetching deployments if needed.
func (c *AICoreClient) getDeploymentURL(ctx context.Context, model string) (string, error) {
c.mu.RLock()
if url, ok := c.deployments[model]; ok {
c.mu.RUnlock()
return url, nil
}
c.mu.RUnlock()
// Fetch token first (before acquiring write lock to avoid deadlock)
token, err := c.getToken(ctx)
if err != nil {
return "", fmt.Errorf("get token for deployments: %w", err)
}
c.mu.Lock()
defer c.mu.Unlock()
// Double-check after acquiring write lock
if url, ok := c.deployments[model]; ok {
return url, nil
}
if err := c.fetchDeployments(ctx, token); err != nil {
return "", err
}
if url, ok := c.deployments[model]; ok {
return url, nil
}
return "", fmt.Errorf("no deployment found for model %q", model)
}
func (c *AICoreClient) fetchDeployments(ctx context.Context, token string) error {
deployURL := strings.TrimRight(c.config.APIURL, "/") + "/v2/lm/deployments"
req, err := http.NewRequestWithContext(ctx, http.MethodGet, deployURL, nil)
if err != nil {
return fmt.Errorf("create deployments request: %w", err)
}
req.Header.Set("Authorization", "Bearer "+token)
req.Header.Set("AI-Resource-Group", c.config.ResourceGroup)
resp, err := c.http.Do(req)
if err != nil {
return fmt.Errorf("deployments request: %w", err)
}
defer resp.Body.Close()
body, err := io.ReadAll(resp.Body)
if err != nil {
return fmt.Errorf("read deployments response: %w", err)
}
if resp.StatusCode < 200 || resp.StatusCode >= 300 {
return fmt.Errorf("deployments request failed (status %d): %s", resp.StatusCode, truncateBody(body))
}
var deployResp struct {
Resources []struct {
DeploymentURL string `json:"deploymentUrl"`
Status string `json:"status"`
Details struct {
Resources struct {
BackendDetails struct {
Model struct {
Name string `json:"name"`
} `json:"model"`
} `json:"backend_details"`
} `json:"resources"`
} `json:"details"`
} `json:"resources"`
}
if err := json.Unmarshal(body, &deployResp); err != nil {
return fmt.Errorf("parse deployments response: %w", err)
}
for _, r := range deployResp.Resources {
if r.Status != "RUNNING" {
continue
}
modelName := r.Details.Resources.BackendDetails.Model.Name
if modelName == "" {
continue
}
c.deployments[modelName] = r.DeploymentURL
}
return nil
}
// CompleteAnthropic sends a request to an Anthropic model via AI Core.
func (c *AICoreClient) CompleteAnthropic(ctx context.Context, model string, messages []Message, maxTokens int, temperature float64) (string, error) {
deployURL, err := c.getDeploymentURL(ctx, model)
if err != nil {
return "", err
}
token, err := c.getToken(ctx)
if err != nil {
return "", err
}
// Extract system message
var system string
var userMessages []anthropicMsg
for _, m := range messages {
if m.Role == "system" {
system = m.Content
} else {
userMessages = append(userMessages, anthropicMsg{
Role: m.Role,
Content: m.Content,
})
}
}
reqBody := anthropicRequest{
AnthropicVersion: "bedrock-2023-05-31", // SAP AI Core uses Bedrock format
// Model omitted - AI Core deployment already specifies model
MaxTokens: maxTokens,
System: system,
Messages: userMessages,
}
if temperature > 0 {
reqBody.Temperature = temperature
}
data, err := json.Marshal(reqBody)
if err != nil {
return "", fmt.Errorf("marshal request: %w", err)
}
// AI Core uses /invoke for Anthropic models
invokeURL := strings.TrimRight(deployURL, "/") + "/invoke"
req, err := http.NewRequestWithContext(ctx, http.MethodPost, invokeURL, bytes.NewReader(data))
if err != nil {
return "", fmt.Errorf("create request: %w", err)
}
req.Header.Set("Authorization", "Bearer "+token)
req.Header.Set("AI-Resource-Group", c.config.ResourceGroup)
req.Header.Set("Content-Type", "application/json")
resp, err := c.http.Do(req)
if err != nil {
return "", fmt.Errorf("AI Core request: %w", err)
}
defer resp.Body.Close()
body, err := io.ReadAll(resp.Body)
if err != nil {
return "", fmt.Errorf("read response: %w", err)
}
if resp.StatusCode < 200 || resp.StatusCode >= 300 {
return "", fmt.Errorf("AI Core API error (status %d): %s", resp.StatusCode, truncateBody(body))
}
var anthropicResp anthropicResponse
if err := json.Unmarshal(body, &anthropicResp); err != nil {
return "", fmt.Errorf("parse response: %w", err)
}
if len(anthropicResp.Content) == 0 {
return "", fmt.Errorf("no content in response")
}
var sb strings.Builder
for _, block := range anthropicResp.Content {
if block.Type == "text" {
sb.WriteString(block.Text)
}
}
result := sb.String()
if result == "" {
return "", fmt.Errorf("no text content in response")
}
return result, nil
}
// CompleteOpenAI sends a request to an OpenAI model via AI Core.
func (c *AICoreClient) CompleteOpenAI(ctx context.Context, model string, messages []Message, temperature float64) (string, error) {
deployURL, err := c.getDeploymentURL(ctx, model)
if err != nil {
return "", err
}
token, err := c.getToken(ctx)
if err != nil {
return "", err
}
reqBody := ChatRequest{
Model: model,
Temperature: temperature,
Messages: messages,
}
data, err := json.Marshal(reqBody)
if err != nil {
return "", fmt.Errorf("marshal request: %w", err)
}
// AI Core uses /chat/completions?api-version=<version> for OpenAI models
chatURL := strings.TrimRight(deployURL, "/") + "/chat/completions?api-version=" + AICoreOpenAIAPIVersion
req, err := http.NewRequestWithContext(ctx, http.MethodPost, chatURL, bytes.NewReader(data))
if err != nil {
return "", fmt.Errorf("create request: %w", err)
}
req.Header.Set("Authorization", "Bearer "+token)
req.Header.Set("AI-Resource-Group", c.config.ResourceGroup)
req.Header.Set("Content-Type", "application/json")
resp, err := c.http.Do(req)
if err != nil {
return "", fmt.Errorf("AI Core request: %w", err)
}
defer resp.Body.Close()
body, err := io.ReadAll(resp.Body)
if err != nil {
return "", fmt.Errorf("read response: %w", err)
}
if resp.StatusCode < 200 || resp.StatusCode >= 300 {
return "", fmt.Errorf("AI Core API error (status %d): %s", resp.StatusCode, truncateBody(body))
}
var openaiResp ChatResponse
if err := json.Unmarshal(body, &openaiResp); err != nil {
return "", fmt.Errorf("parse response: %w", err)
}
if len(openaiResp.Choices) == 0 {
return "", fmt.Errorf("no choices in response")
}
return openaiResp.Choices[0].Message.Content, nil
}
// IsAnthropicModel returns true if the model name indicates an Anthropic model.
// SAP AI Core uses "anthropic--" prefix for Anthropic models (e.g., "anthropic--claude-3-5-sonnet").
func IsAnthropicModel(model string) bool {
return strings.HasPrefix(model, "anthropic--")
}
-535
View File
@@ -1,535 +0,0 @@
package llm
import (
"context"
"encoding/json"
"fmt"
"net/http"
"net/http/httptest"
"strings"
"sync/atomic"
"testing"
"time"
)
func TestAICoreClient_TokenFetch(t *testing.T) {
tokenCalls := int32(0)
server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
if r.URL.Path == "/oauth/token" {
atomic.AddInt32(&tokenCalls, 1)
if r.Method != http.MethodPost {
t.Errorf("expected POST for token, got %s", r.Method)
}
if r.Header.Get("Content-Type") != "application/x-www-form-urlencoded" {
t.Errorf("expected form content type")
}
w.Header().Set("Content-Type", "application/json")
json.NewEncoder(w).Encode(map[string]interface{}{
"access_token": "test-token-123",
"expires_in": 3600,
})
return
}
t.Errorf("unexpected path: %s", r.URL.Path)
}))
defer server.Close()
client := NewAICoreClient(AICoreConfig{
ClientID: "test-id",
ClientSecret: "test-secret",
AuthURL: server.URL,
APIURL: server.URL,
ResourceGroup: "default",
})
token, err := client.getToken(context.Background())
if err != nil {
t.Fatalf("unexpected error: %v", err)
}
if token != "test-token-123" {
t.Errorf("expected token 'test-token-123', got %q", token)
}
// Second call should use cached token
token2, err := client.getToken(context.Background())
if err != nil {
t.Fatalf("unexpected error: %v", err)
}
if token2 != "test-token-123" {
t.Errorf("expected cached token")
}
if atomic.LoadInt32(&tokenCalls) != 1 {
t.Errorf("expected 1 token call (cached), got %d", tokenCalls)
}
}
func TestAICoreClient_DeploymentFetch(t *testing.T) {
server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
if r.URL.Path == "/oauth/token" {
w.Header().Set("Content-Type", "application/json")
json.NewEncoder(w).Encode(map[string]interface{}{
"access_token": "test-token",
"expires_in": 3600,
})
return
}
if r.URL.Path == "/v2/lm/deployments" {
if r.Header.Get("Authorization") != "Bearer test-token" {
t.Errorf("expected Bearer auth")
}
if r.Header.Get("AI-Resource-Group") != "default" {
t.Errorf("expected resource group header")
}
w.Header().Set("Content-Type", "application/json")
json.NewEncoder(w).Encode(map[string]interface{}{
"resources": []map[string]interface{}{
{
"id": "deploy-123",
"deploymentUrl": "https://example.com/v2/inference/deployments/deploy-123",
"status": "RUNNING",
"details": map[string]interface{}{
"resources": map[string]interface{}{
"backend_details": map[string]interface{}{
"model": map[string]interface{}{
"name": "anthropic--claude-4.6-sonnet",
},
},
},
},
},
{
"id": "deploy-456",
"deploymentUrl": "https://example.com/v2/inference/deployments/deploy-456",
"status": "STOPPED",
"details": map[string]interface{}{
"resources": map[string]interface{}{
"backend_details": map[string]interface{}{
"model": map[string]interface{}{
"name": "gpt-5",
},
},
},
},
},
{
"id": "deploy-789",
"deploymentUrl": "https://example.com/v2/inference/deployments/deploy-789",
"status": "RUNNING",
"details": map[string]interface{}{
"resources": map[string]interface{}{
"backend_details": map[string]interface{}{
"model": map[string]interface{}{
"name": "gpt-5",
},
},
},
},
},
},
})
return
}
t.Errorf("unexpected path: %s", r.URL.Path)
}))
defer server.Close()
client := NewAICoreClient(AICoreConfig{
ClientID: "test-id",
ClientSecret: "test-secret",
AuthURL: server.URL,
APIURL: server.URL,
ResourceGroup: "default",
})
// Should find running deployment
url, err := client.getDeploymentURL(context.Background(), "anthropic--claude-4.6-sonnet")
if err != nil {
t.Fatalf("unexpected error: %v", err)
}
if url != "https://example.com/v2/inference/deployments/deploy-123" {
t.Errorf("unexpected URL: %s", url)
}
// Should find running gpt-5, not stopped one
url, err = client.getDeploymentURL(context.Background(), "gpt-5")
if err != nil {
t.Fatalf("unexpected error: %v", err)
}
if url != "https://example.com/v2/inference/deployments/deploy-789" {
t.Errorf("unexpected URL: %s", url)
}
// Should error on unknown model
_, err = client.getDeploymentURL(context.Background(), "unknown-model")
if err == nil {
t.Error("expected error for unknown model")
}
}
func TestAICoreClient_CompleteAnthropic(t *testing.T) {
// Use a pointer to capture the server URL for use in the handler
var baseURL string
mux := http.NewServeMux()
mux.HandleFunc("/oauth/token", func(w http.ResponseWriter, r *http.Request) {
w.Header().Set("Content-Type", "application/json")
json.NewEncoder(w).Encode(map[string]interface{}{
"access_token": "test-token",
"expires_in": 3600,
})
})
mux.HandleFunc("/v2/lm/deployments", func(w http.ResponseWriter, r *http.Request) {
w.Header().Set("Content-Type", "application/json")
json.NewEncoder(w).Encode(map[string]interface{}{
"resources": []map[string]interface{}{
{
"id": "deploy-anthropic",
"deploymentUrl": baseURL + "/deployments/anthropic",
"status": "RUNNING",
"details": map[string]interface{}{
"resources": map[string]interface{}{
"backend_details": map[string]interface{}{
"model": map[string]interface{}{
"name": "anthropic--claude-4.6-sonnet",
},
},
},
},
},
},
})
})
mux.HandleFunc("/deployments/anthropic/invoke", func(w http.ResponseWriter, r *http.Request) {
if r.Header.Get("Authorization") != "Bearer test-token" {
t.Errorf("expected Bearer auth on invoke")
}
var req anthropicRequest
if err := json.NewDecoder(r.Body).Decode(&req); err != nil {
t.Fatalf("decode request: %v", err)
}
if req.AnthropicVersion != "bedrock-2023-05-31" {
t.Errorf("expected bedrock anthropic_version in request")
}
if req.System != "You are helpful" {
t.Errorf("expected system prompt: %q", req.System)
}
w.Header().Set("Content-Type", "application/json")
json.NewEncoder(w).Encode(map[string]interface{}{
"content": []map[string]interface{}{
{"type": "text", "text": "Hello from AI Core!"},
},
})
})
server := httptest.NewServer(mux)
baseURL = server.URL
defer server.Close()
client := NewAICoreClient(AICoreConfig{
ClientID: "test-id",
ClientSecret: "test-secret",
AuthURL: server.URL,
APIURL: server.URL,
ResourceGroup: "default",
})
result, err := client.CompleteAnthropic(context.Background(), "anthropic--claude-4.6-sonnet", []Message{
{Role: "system", Content: "You are helpful"},
{Role: "user", Content: "Hello"},
}, 8192, 0)
if err != nil {
t.Fatalf("unexpected error: %v", err)
}
if result != "Hello from AI Core!" {
t.Errorf("expected 'Hello from AI Core!', got %q", result)
}
}
func TestAICoreClient_CompleteOpenAI(t *testing.T) {
var baseURL string
mux := http.NewServeMux()
mux.HandleFunc("/oauth/token", func(w http.ResponseWriter, r *http.Request) {
w.Header().Set("Content-Type", "application/json")
json.NewEncoder(w).Encode(map[string]interface{}{
"access_token": "test-token",
"expires_in": 3600,
})
})
mux.HandleFunc("/v2/lm/deployments", func(w http.ResponseWriter, r *http.Request) {
w.Header().Set("Content-Type", "application/json")
json.NewEncoder(w).Encode(map[string]interface{}{
"resources": []map[string]interface{}{
{
"id": "deploy-openai",
"deploymentUrl": baseURL + "/deployments/openai",
"status": "RUNNING",
"details": map[string]interface{}{
"resources": map[string]interface{}{
"backend_details": map[string]interface{}{
"model": map[string]interface{}{
"name": "gpt-5",
},
},
},
},
},
},
})
})
mux.HandleFunc("/deployments/openai/chat/completions", func(w http.ResponseWriter, r *http.Request) {
if r.URL.Query().Get("api-version") != AICoreOpenAIAPIVersion {
t.Errorf("expected api-version %s, got %s", AICoreOpenAIAPIVersion, r.URL.Query().Get("api-version"))
}
var req ChatRequest
if err := json.NewDecoder(r.Body).Decode(&req); err != nil {
t.Fatalf("decode request: %v", err)
}
if req.Model != "gpt-5" {
t.Errorf("expected model gpt-5, got %s", req.Model)
}
w.Header().Set("Content-Type", "application/json")
json.NewEncoder(w).Encode(ChatResponse{
Choices: []struct {
Message struct {
Content string `json:"content"`
} `json:"message"`
}{
{Message: struct {
Content string `json:"content"`
}{Content: "Hello from GPT-5!"}},
},
})
})
server := httptest.NewServer(mux)
baseURL = server.URL
defer server.Close()
client := NewAICoreClient(AICoreConfig{
ClientID: "test-id",
ClientSecret: "test-secret",
AuthURL: server.URL,
APIURL: server.URL,
ResourceGroup: "default",
})
result, err := client.CompleteOpenAI(context.Background(), "gpt-5", []Message{
{Role: "user", Content: "Hello"},
}, 0)
if err != nil {
t.Fatalf("unexpected error: %v", err)
}
if result != "Hello from GPT-5!" {
t.Errorf("expected 'Hello from GPT-5!', got %q", result)
}
}
func TestIsAnthropicModel(t *testing.T) {
tests := []struct {
model string
expected bool
}{
// SAP AI Core uses "anthropic--" prefix for Anthropic models
{"anthropic--claude-4.6-sonnet", true},
{"anthropic--claude-4.6-opus", true},
{"anthropic--claude-3-5-sonnet", true},
// Non-prefixed model names are not detected as Anthropic
// (SAP AI Core always uses the prefix for Anthropic models)
{"claude-sonnet-4", false},
{"gpt-5", false},
{"gpt-4.1", false},
{"llama-3", false},
{"my-claude-model", false}, // Avoid false positives on "claude" substring
}
for _, tt := range tests {
got := IsAnthropicModel(tt.model)
if got != tt.expected {
t.Errorf("IsAnthropicModel(%q) = %v, want %v", tt.model, got, tt.expected)
}
}
}
func TestAICoreClient_TokenExpiry(t *testing.T) {
tokenCalls := int32(0)
server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
if r.URL.Path == "/oauth/token" {
call := atomic.AddInt32(&tokenCalls, 1)
w.Header().Set("Content-Type", "application/json")
json.NewEncoder(w).Encode(map[string]interface{}{
"access_token": fmt.Sprintf("token-%d", call),
"expires_in": 1, // 1 second expiry
})
return
}
}))
defer server.Close()
client := NewAICoreClient(AICoreConfig{
ClientID: "test-id",
ClientSecret: "test-secret",
AuthURL: server.URL,
APIURL: server.URL,
ResourceGroup: "default",
})
// First call
token1, err := client.getToken(context.Background())
if err != nil {
t.Fatalf("first getToken: %v", err)
}
// Force token expiry by manipulating expiry time
client.mu.Lock()
client.tokenExpiry = time.Now().Add(-time.Hour)
client.mu.Unlock()
// Should fetch new token
token2, err := client.getToken(context.Background())
if err != nil {
t.Fatalf("second getToken: %v", err)
}
if token1 == token2 {
t.Error("expected different tokens after expiry")
}
if atomic.LoadInt32(&tokenCalls) != 2 {
t.Errorf("expected 2 token calls, got %d", tokenCalls)
}
}
func TestAICoreClient_WithTimeout(t *testing.T) {
client := NewAICoreClient(AICoreConfig{
ClientID: "test-id",
ClientSecret: "test-secret",
AuthURL: "https://auth.example.com",
APIURL: "https://api.example.com",
ResourceGroup: "default",
})
// Default timeout is 5 minutes
if client.http.Timeout != 5*time.Minute {
t.Errorf("expected default timeout 5m, got %v", client.http.Timeout)
}
// WithTimeout should update the timeout
client.WithTimeout(10 * time.Minute)
if client.http.Timeout != 10*time.Minute {
t.Errorf("expected timeout 10m, got %v", client.http.Timeout)
}
}
func TestClient_WithAICore(t *testing.T) {
client := NewClient("http://example.com", "key", "model")
if client.provider != ProviderOpenAI {
t.Errorf("expected default provider openai, got %s", client.provider)
}
client.WithAICore(AICoreConfig{
ClientID: "id",
ClientSecret: "secret",
AuthURL: "https://auth.example.com",
APIURL: "https://api.example.com",
ResourceGroup: "default",
})
if client.provider != ProviderAICore {
t.Errorf("expected provider aicore, got %s", client.provider)
}
if client.aicore == nil {
t.Error("expected aicore client to be set")
}
}
func TestClient_WithTimeout_PropagatestoAICore(t *testing.T) {
client := NewClient("http://example.com", "key", "model").
WithAICore(AICoreConfig{
ClientID: "id",
ClientSecret: "secret",
AuthURL: "https://auth.example.com",
APIURL: "https://api.example.com",
ResourceGroup: "default",
})
// Default should be 5 minutes (inherited from parent client)
if client.aicore.http.Timeout != 5*time.Minute {
t.Errorf("expected aicore default timeout 5m, got %v", client.aicore.http.Timeout)
}
// WithTimeout should propagate to AI Core client
client.WithTimeout(15 * time.Minute)
if client.http.Timeout != 15*time.Minute {
t.Errorf("expected parent timeout 15m, got %v", client.http.Timeout)
}
if client.aicore.http.Timeout != 15*time.Minute {
t.Errorf("expected aicore timeout 15m, got %v", client.aicore.http.Timeout)
}
}
func TestClient_CompleteAICore(t *testing.T) {
var baseURL string
mux := http.NewServeMux()
mux.HandleFunc("/oauth/token", func(w http.ResponseWriter, r *http.Request) {
w.Header().Set("Content-Type", "application/json")
json.NewEncoder(w).Encode(map[string]interface{}{
"access_token": "test-token",
"expires_in": 3600,
})
})
mux.HandleFunc("/v2/lm/deployments", func(w http.ResponseWriter, r *http.Request) {
w.Header().Set("Content-Type", "application/json")
json.NewEncoder(w).Encode(map[string]interface{}{
"resources": []map[string]interface{}{
{
"id": "deploy-test",
"deploymentUrl": baseURL + "/deployments/test",
"status": "RUNNING",
"details": map[string]interface{}{
"resources": map[string]interface{}{
"backend_details": map[string]interface{}{
"model": map[string]interface{}{
"name": "gpt-5",
},
},
},
},
},
},
})
})
mux.HandleFunc("/deployments/test/chat/completions", func(w http.ResponseWriter, r *http.Request) {
w.Header().Set("Content-Type", "application/json")
json.NewEncoder(w).Encode(ChatResponse{
Choices: []struct {
Message struct {
Content string `json:"content"`
} `json:"message"`
}{
{Message: struct {
Content string `json:"content"`
}{Content: "AI Core via Client works!"}},
},
})
})
server := httptest.NewServer(mux)
baseURL = server.URL
defer server.Close()
client := NewClient("", "", "gpt-5").WithAICore(AICoreConfig{
ClientID: "test-id",
ClientSecret: "test-secret",
AuthURL: server.URL,
APIURL: server.URL,
ResourceGroup: "default",
})
result, err := client.Complete(context.Background(), []Message{
{Role: "user", Content: "Hello"},
})
if err != nil {
t.Fatalf("unexpected error: %v", err)
}
if !strings.Contains(result, "AI Core via Client works!") {
t.Errorf("unexpected result: %s", result)
}
}
+7 -38
View File
@@ -1,6 +1,6 @@
// Package llm provides clients for LLM chat completion APIs.
//
// Supports OpenAI-compatible (default), Anthropic Messages API, and SAP AI Core providers.
// Supports OpenAI-compatible (default) and Anthropic Messages API providers.
package llm
import (
@@ -22,8 +22,6 @@ const (
ProviderOpenAI Provider = "openai"
// ProviderAnthropic uses the Anthropic Messages API endpoint.
ProviderAnthropic Provider = "anthropic"
// ProviderAICore uses SAP AI Core with OAuth authentication.
ProviderAICore Provider = "aicore"
)
// Client calls an LLM chat completion API.
@@ -37,7 +35,6 @@ type Client struct {
temperature float64
provider Provider
http *http.Client
aicore *AICoreClient // Only set when provider is aicore
}
// NewClient creates a new LLM client. Default provider is OpenAI-compatible.
@@ -52,12 +49,8 @@ func NewClient(baseURL, apiKey, model string) *Client {
}
// WithTimeout sets the HTTP request timeout for LLM calls (default 5 minutes).
// When using AI Core, this also sets the timeout on the AI Core client.
func (c *Client) WithTimeout(d time.Duration) *Client {
c.http.Timeout = d
if c.aicore != nil {
c.aicore.WithTimeout(d)
}
return c
}
@@ -67,21 +60,12 @@ func (c *Client) WithTemperature(t float64) *Client {
return c
}
// WithProvider sets the API provider format (openai, anthropic, or aicore).
// WithProvider sets the API provider format (openai or anthropic).
func (c *Client) WithProvider(p Provider) *Client {
c.provider = p
return c
}
// WithAICore configures the client to use SAP AI Core for authentication.
// This sets the provider to aicore automatically.
// The AI Core client inherits the current HTTP timeout from this client.
func (c *Client) WithAICore(cfg AICoreConfig) *Client {
c.provider = ProviderAICore
c.aicore = NewAICoreClient(cfg).WithTimeout(c.http.Timeout)
return c
}
// Message represents a chat message.
type Message struct {
Role string `json:"role"`
@@ -98,8 +82,6 @@ func (c *Client) Complete(ctx context.Context, messages []Message) (string, erro
switch c.provider {
case ProviderAnthropic:
result, err = c.completeAnthropic(ctx, messages)
case ProviderAICore:
result, err = c.completeAICore(ctx, messages)
default:
result, err = c.completeOpenAI(ctx, messages)
}
@@ -124,18 +106,6 @@ func (c *Client) Complete(ctx context.Context, messages []Message) (string, erro
return "", err
}
// completeAICore routes to AI Core using the appropriate endpoint based on model type.
func (c *Client) completeAICore(ctx context.Context, messages []Message) (string, error) {
if c.aicore == nil {
return "", fmt.Errorf("AI Core client not configured")
}
if IsAnthropicModel(c.model) {
return c.aicore.CompleteAnthropic(ctx, c.model, messages, 8192, c.temperature)
}
return c.aicore.CompleteOpenAI(ctx, c.model, messages, c.temperature)
}
// isRetryableError returns true for transient errors worth retrying.
func isRetryableError(err error) bool {
if err == nil {
@@ -206,12 +176,11 @@ func (c *Client) completeOpenAI(ctx context.Context, messages []Message) (string
// --- Anthropic Messages API implementation ---
type anthropicRequest struct {
AnthropicVersion string `json:"anthropic_version,omitempty"`
Model string `json:"model,omitempty"`
MaxTokens int `json:"max_tokens"`
System string `json:"system,omitempty"`
Messages []anthropicMsg `json:"messages"`
Temperature float64 `json:"temperature,omitempty"`
Model string `json:"model"`
MaxTokens int `json:"max_tokens"`
System string `json:"system,omitempty"`
Messages []anthropicMsg `json:"messages"`
Temperature float64 `json:"temperature,omitempty"`
}
type anthropicMsg struct {