fleet-memory/.github/workflows/test.yml
Nicolò Boschi db70fdbe5e
feat: add LiteLLM LLM provider for Bedrock and 100+ providers (#679)
* feat: add LiteLLM LLM provider for Bedrock and 100+ providers

Add a new `litellm` LLM provider that uses the LiteLLM SDK for chat
completions and tool calling, enabling AWS Bedrock and 100+ other
providers for Hindsight's core engine (retain, recall, reflect).

- New LiteLLMLLM provider in engine/providers/litellm_llm.py
- Registered in factory, valid providers list, and no-api-key set
- Refactored API key validation to use requires_api_key() helper
- Added boto3 dependency for Bedrock auth
- Updated docs: configuration, models, monitoring, providers grid

* feat: add bedrock as first-class LLM provider alias

Add `bedrock` as a dedicated provider name that auto-prepends the
`bedrock/` prefix to model names and delegates to LiteLLMLLM under
the hood. This makes Bedrock support more discoverable — users set
`HINDSIGHT_API_LLM_PROVIDER=bedrock` with plain Bedrock model IDs.

* test: add Bedrock to CI provider tests

- Add bedrock/us.amazon.nova-lite-v1:0 to MODEL_MATRIX in test_llm_provider.py
- Add AWS credential check in should_skip_provider()
- Pass AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_REGION_NAME secrets to test-api job
- Update default bedrock model to amazon.nova-2-lite-v1:0

* fix: regenerate docs skill files and bump memory test timeout

- Regenerate skills/hindsight-docs references after docs changes
- Bump test_llm_provider_memory_operations timeout to 600s for slower
  providers like Bedrock via LiteLLM

* test: skip bedrock lite models in memory operations test

Nova Lite has a 10K output token limit which is too low for fact
extraction (requires 64K). The api_methods test (completion, tools,
structured output) already validates the provider works correctly.

* test: use Nova Pro for bedrock CI tests to cover full memory pipeline

Nova Lite only supports 10K output tokens, too low for fact extraction.
Switch to Nova Pro which supports the full 64K output needed for
retain/reflect operations. This ensures bedrock is tested on all
Hindsight functionalities, not just basic API methods.

* test: switch bedrock CI to Nova 2 Lite (supports 64K output tokens)

Nova v1 models (Pro, Lite) have a 10K output token limit which is
too low for fact extraction. Nova 2 Lite supports 64K+ output tokens,
enabling full memory pipeline testing (retain + reflect).
2026-03-25 14:17:38 +01:00

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YAML

name: CI
on:
pull_request:
branches: [ main ]
workflow_dispatch:
concurrency:
group: ci-${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
jobs:
build-api-python-versions:
runs-on: ubuntu-latest
strategy:
matrix:
python-version: ['3.11', '3.12', '3.13', '3.14']
steps:
- uses: actions/checkout@v6
- name: Install uv
uses: astral-sh/setup-uv@v7
with:
enable-cache: true
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v6
with:
python-version: ${{ matrix.python-version }}
- name: Build hindsight-api
working-directory: ./hindsight-api-slim
run: uv build
build-typescript-client:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v6
- name: Set up Node.js
uses: actions/setup-node@v6
with:
node-version: '20'
cache: 'npm'
cache-dependency-path: package-lock.json
- name: Install dependencies
run: npm ci --workspace=hindsight-clients/typescript
- name: Build TypeScript client
run: npm run build --workspace=hindsight-clients/typescript
build-openclaw-integration:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v6
- name: Set up Node.js
uses: actions/setup-node@v6
with:
node-version: '22'
- name: Install dependencies
working-directory: ./hindsight-integrations/openclaw
run: npm ci
- name: Run tests
working-directory: ./hindsight-integrations/openclaw
run: npm test
- name: Build
working-directory: ./hindsight-integrations/openclaw
run: npm run build
test-claude-code-integration:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v6
- name: Set up Python
uses: actions/setup-python@v6
with:
python-version: '3.11'
- name: Install pytest
run: pip install pytest
- name: Run tests
working-directory: ./hindsight-integrations/claude-code
run: python -m pytest tests/ -v
build-ai-sdk-integration:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v6
- name: Set up Node.js
uses: actions/setup-node@v6
with:
node-version: '22'
- name: Install dependencies
working-directory: ./hindsight-integrations/ai-sdk
run: npm ci
- name: Run tests
working-directory: ./hindsight-integrations/ai-sdk
run: npm test
- name: Build
working-directory: ./hindsight-integrations/ai-sdk
run: npm run build
test-ai-sdk-integration-deno:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v6
- name: Set up Deno
uses: denoland/setup-deno@v2
with:
deno-version: v2.x
- name: Set up Node.js
uses: actions/setup-node@v6
with:
node-version: '22'
- name: Install dependencies
working-directory: ./hindsight-integrations/ai-sdk
run: npm ci
- name: Run tests (Deno)
working-directory: ./hindsight-integrations/ai-sdk
run: npm run test:deno
build-chat-integration:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v6
- name: Set up Node.js
uses: actions/setup-node@v6
with:
node-version: '22'
- name: Install dependencies
working-directory: ./hindsight-integrations/chat
run: npm ci
- name: Run tests
working-directory: ./hindsight-integrations/chat
run: npm test
- name: Build
working-directory: ./hindsight-integrations/chat
run: npm run build
build-control-plane:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v6
- name: Set up Node.js
uses: actions/setup-node@v6
with:
node-version: '20'
cache: 'npm'
cache-dependency-path: package-lock.json
- name: Install SDK dependencies
run: npm ci --workspace=hindsight-clients/typescript
- name: Build SDK
run: npm run build --workspace=hindsight-clients/typescript
# Install control plane deps and fix hoisted lightningcss binary
# lightningcss gets hoisted to root node_modules, so we need to reinstall it there
- name: Install Control Plane dependencies
run: |
npm install --workspace=hindsight-control-plane
rm -rf node_modules/lightningcss node_modules/@tailwindcss
npm install lightningcss @tailwindcss/postcss @tailwindcss/node
- name: Build Control Plane
run: npm run build --workspace=hindsight-control-plane
- name: Verify standalone build
run: |
test -f hindsight-control-plane/standalone/server.js || exit 1
test -d hindsight-control-plane/standalone/node_modules || exit 1
node hindsight-control-plane/bin/cli.js --help
- name: Smoke test - verify server starts
run: |
cd hindsight-control-plane
node bin/cli.js --port 9999 &
SERVER_PID=$!
sleep 5
if curl -sf http://localhost:9999 > /dev/null 2>&1; then
echo "Server started successfully"
kill $SERVER_PID 2>/dev/null || true
exit 0
else
echo "Server failed to respond"
kill $SERVER_PID 2>/dev/null || true
exit 1
fi
build-docs:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v6
- name: Set up Node.js
uses: actions/setup-node@v6
with:
node-version: '20'
cache: 'npm'
cache-dependency-path: package-lock.json
- name: Install dependencies
run: npm ci --workspace=hindsight-docs
- name: Build docs
run: npm run build --workspace=hindsight-docs
test-rust-cli:
runs-on: ubuntu-latest
env:
HINDSIGHT_API_LLM_PROVIDER: vertexai
HINDSIGHT_API_LLM_VERTEXAI_SERVICE_ACCOUNT_KEY: /tmp/gcp-credentials.json
HINDSIGHT_API_LLM_MODEL: google/gemini-2.5-flash-lite
HINDSIGHT_API_URL: http://localhost:8888
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
steps:
- uses: actions/checkout@v6
- name: Setup GCP credentials
run: |
printf '%s' '${{ secrets.GCP_VERTEXAI_CREDENTIALS }}' > /tmp/gcp-credentials.json
PROJECT_ID=$(jq -r '.project_id' /tmp/gcp-credentials.json)
echo "HINDSIGHT_API_LLM_VERTEXAI_PROJECT_ID=$PROJECT_ID" >> $GITHUB_ENV
- name: Install Rust
uses: dtolnay/rust-toolchain@stable
- name: Cache cargo
uses: actions/cache@v5
with:
path: |
~/.cargo/registry
~/.cargo/git
hindsight-cli/target
key: ${{ runner.os }}-cargo-${{ hashFiles('**/Cargo.lock') }}
- name: Run unit tests
working-directory: hindsight-cli
run: cargo test
- name: Build CLI
working-directory: hindsight-cli
run: cargo build --release
- name: Upload CLI artifact
uses: actions/upload-artifact@v7
with:
name: hindsight-cli
path: hindsight-cli/target/release/hindsight
retention-days: 1
- name: Install uv
uses: astral-sh/setup-uv@v7
with:
enable-cache: true
prune-cache: false
- name: Set up Python
uses: actions/setup-python@v6
with:
python-version-file: ".python-version"
- name: Build API
working-directory: ./hindsight-api-slim
run: uv build
- name: Install API dependencies
working-directory: ./hindsight-api-slim
run: uv sync --frozen --all-extras --index-strategy unsafe-best-match
- name: Cache HuggingFace models
uses: actions/cache@v5
with:
path: ~/.cache/huggingface
key: ${{ runner.os }}-huggingface-${{ hashFiles('hindsight-api-slim/pyproject.toml') }}
restore-keys: |
${{ runner.os }}-huggingface-
- name: Pre-download models
working-directory: ./hindsight-api-slim
run: |
uv run python -c "
from sentence_transformers import SentenceTransformer, CrossEncoder
print('Downloading embedding model...')
SentenceTransformer('BAAI/bge-small-en-v1.5')
print('Downloading cross-encoder model...')
CrossEncoder('cross-encoder/ms-marco-MiniLM-L-6-v2')
print('Models downloaded successfully')
"
- name: Create .env file
run: |
cat > .env << EOF
HINDSIGHT_API_LLM_PROVIDER=${{ env.HINDSIGHT_API_LLM_PROVIDER }}
HINDSIGHT_API_LLM_MODEL=${{ env.HINDSIGHT_API_LLM_MODEL }}
HINDSIGHT_API_LLM_VERTEXAI_SERVICE_ACCOUNT_KEY=/tmp/gcp-credentials.json
HINDSIGHT_API_LLM_VERTEXAI_PROJECT_ID=$HINDSIGHT_API_LLM_VERTEXAI_PROJECT_ID
EOF
- name: Start API server
run: |
./scripts/dev/start-api.sh > /tmp/api-server.log 2>&1 &
echo "Waiting for API server to be ready..."
for i in {1..120}; do
if curl -sf http://localhost:8888/health > /dev/null 2>&1; then
echo "API server is ready after ${i}s"
break
fi
if [ $i -eq 120 ]; then
echo "API server failed to start after 120s"
cat /tmp/api-server.log
exit 1
fi
sleep 1
done
- name: Run CLI smoke test
run: |
HINDSIGHT_CLI=hindsight-cli/target/release/hindsight ./hindsight-cli/smoke-test.sh
- name: Show API server logs
if: always()
run: |
echo "=== API Server Logs ==="
cat /tmp/api-server.log || echo "No API server log found"
lint-helm-chart:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v6
- name: Install Helm
uses: azure/setup-helm@v4
with:
version: 'latest'
- name: Lint Helm chart
run: helm lint helm/hindsight
build-docker-images:
name: Build Docker (${{ matrix.name }})
runs-on: ubuntu-latest
strategy:
matrix:
include:
- target: api-only
name: api
variant: full
build_args: ""
- target: api-only
name: api-slim
variant: slim
build_args: |
INCLUDE_LOCAL_MODELS=false
PRELOAD_ML_MODELS=false
- target: cp-only
name: control-plane
variant: full
build_args: ""
- target: standalone
name: standalone
variant: full
build_args: ""
- target: standalone
name: standalone-slim
variant: slim
build_args: |
INCLUDE_LOCAL_MODELS=false
PRELOAD_ML_MODELS=false
steps:
- uses: actions/checkout@v6
- name: Free Disk Space
uses: jlumbroso/free-disk-space@main
with:
tool-cache: true
android: true
dotnet: true
haskell: true
large-packages: true
docker-images: true
swap-storage: true
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v4
- name: Build ${{ matrix.name }} image (${{ matrix.variant }})
uses: docker/build-push-action@v7
with:
context: .
file: docker/standalone/Dockerfile
target: ${{ matrix.target }}
build-args: ${{ matrix.build_args }}
push: false
load: ${{ matrix.variant == 'slim' }}
tags: hindsight-${{ matrix.name }}:test
# Removed GitHub Actions cache (type=gha) - it frequently returns 502 errors
# causing buildx to fail with "failed to parse error response 502"
# Build will be slower but more reliable
# Only test slim variants to save disk space (they're much smaller)
# Slim variants require external embedding providers
- name: Setup GCP credentials for smoke test
if: matrix.variant == 'slim'
run: |
printf '%s' '${{ secrets.GCP_VERTEXAI_CREDENTIALS }}' > /tmp/gcp-credentials.json
PROJECT_ID=$(jq -r '.project_id' /tmp/gcp-credentials.json)
echo "HINDSIGHT_API_LLM_VERTEXAI_PROJECT_ID=$PROJECT_ID" >> $GITHUB_ENV
- name: Smoke test - verify container starts
if: matrix.variant == 'slim'
env:
HINDSIGHT_API_LLM_PROVIDER: vertexai
HINDSIGHT_API_LLM_MODEL: google/gemini-2.5-flash-lite
HINDSIGHT_API_LLM_VERTEXAI_SERVICE_ACCOUNT_KEY: /tmp/gcp-credentials.json
HINDSIGHT_API_LLM_VERTEXAI_PROJECT_ID: ${{ env.HINDSIGHT_API_LLM_VERTEXAI_PROJECT_ID }}
HINDSIGHT_API_EMBEDDINGS_PROVIDER: cohere
HINDSIGHT_API_RERANKER_PROVIDER: cohere
HINDSIGHT_API_COHERE_API_KEY: ${{ secrets.COHERE_API_KEY }}
run: ./docker/test-image.sh "hindsight-${{ matrix.name }}:test" "${{ matrix.target }}"
test-api:
runs-on: ubuntu-latest
env:
HINDSIGHT_API_LLM_PROVIDER: vertexai
HINDSIGHT_API_LLM_VERTEXAI_SERVICE_ACCOUNT_KEY: /tmp/gcp-credentials.json
HINDSIGHT_API_LLM_MODEL: google/gemini-2.5-flash-lite
GEMINI_API_KEY: ${{ secrets.GEMINI_API_KEY }}
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
COHERE_API_KEY: ${{ secrets.COHERE_API_KEY }}
HINDSIGHT_API_EMBEDDINGS_OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }}
AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
AWS_REGION_NAME: ${{ secrets.AWS_REGION_NAME }}
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
# Prefer CPU-only PyTorch in CI (but keep PyPI for everything else)
steps:
- uses: actions/checkout@v6
- name: Setup GCP credentials
run: |
printf '%s' '${{ secrets.GCP_VERTEXAI_CREDENTIALS }}' > /tmp/gcp-credentials.json
PROJECT_ID=$(jq -r '.project_id' /tmp/gcp-credentials.json)
echo "HINDSIGHT_API_LLM_VERTEXAI_PROJECT_ID=$PROJECT_ID" >> $GITHUB_ENV
- name: Install uv
uses: astral-sh/setup-uv@v7
with:
enable-cache: true
prune-cache: false
- name: Set up Python
uses: actions/setup-python@v6
with:
python-version-file: ".python-version"
- name: Build API
working-directory: ./hindsight-api-slim
run: uv build
- name: Install dependencies
working-directory: ./hindsight-api-slim
run: uv sync --frozen --all-extras --index-strategy unsafe-best-match
- name: Cache HuggingFace models
uses: actions/cache@v5
with:
path: ~/.cache/huggingface
key: ${{ runner.os }}-huggingface-${{ hashFiles('hindsight-api-slim/pyproject.toml') }}
restore-keys: |
${{ runner.os }}-huggingface-
- name: Pre-download models
working-directory: ./hindsight-api-slim
run: |
uv run python -c "
from sentence_transformers import SentenceTransformer, CrossEncoder
print('Downloading embedding model...')
SentenceTransformer('BAAI/bge-small-en-v1.5')
print('Downloading cross-encoder model...')
CrossEncoder('cross-encoder/ms-marco-MiniLM-L-6-v2')
print('Models downloaded successfully')
"
- name: Run tests
working-directory: ./hindsight-api-slim
run: uv run pytest tests -v
test-python-client:
runs-on: ubuntu-latest
env:
HINDSIGHT_API_LLM_PROVIDER: vertexai
HINDSIGHT_API_LLM_VERTEXAI_SERVICE_ACCOUNT_KEY: /tmp/gcp-credentials.json
HINDSIGHT_API_LLM_MODEL: google/gemini-2.5-flash-lite
HINDSIGHT_API_URL: http://localhost:8888
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
# Prefer CPU-only PyTorch in CI (but keep PyPI for everything else)
steps:
- uses: actions/checkout@v6
- name: Setup GCP credentials
run: |
printf '%s' '${{ secrets.GCP_VERTEXAI_CREDENTIALS }}' > /tmp/gcp-credentials.json
PROJECT_ID=$(jq -r '.project_id' /tmp/gcp-credentials.json)
echo "HINDSIGHT_API_LLM_VERTEXAI_PROJECT_ID=$PROJECT_ID" >> $GITHUB_ENV
- name: Install uv
uses: astral-sh/setup-uv@v7
with:
enable-cache: true
prune-cache: false
- name: Set up Python
uses: actions/setup-python@v6
with:
python-version-file: ".python-version"
- name: Build API
working-directory: ./hindsight-api-slim
run: uv build
- name: Build Python client
working-directory: ./hindsight-clients/python
run: uv build
- name: Install client test dependencies
working-directory: ./hindsight-clients/python
run: uv sync --frozen --extra test --index-strategy unsafe-best-match
- name: Install API dependencies
working-directory: ./hindsight-api-slim
run: uv sync --frozen --all-extras --index-strategy unsafe-best-match
- name: Cache HuggingFace models
uses: actions/cache@v5
with:
path: ~/.cache/huggingface
key: ${{ runner.os }}-huggingface-${{ hashFiles('hindsight-api-slim/pyproject.toml') }}
restore-keys: |
${{ runner.os }}-huggingface-
- name: Pre-download models
working-directory: ./hindsight-api-slim
run: |
uv run python -c "
from sentence_transformers import SentenceTransformer, CrossEncoder
print('Downloading embedding model...')
SentenceTransformer('BAAI/bge-small-en-v1.5')
print('Downloading cross-encoder model...')
CrossEncoder('cross-encoder/ms-marco-MiniLM-L-6-v2')
print('Models downloaded successfully')
"
- name: Create .env file
run: |
cat > .env << EOF
HINDSIGHT_API_LLM_PROVIDER=${{ env.HINDSIGHT_API_LLM_PROVIDER }}
HINDSIGHT_API_LLM_MODEL=${{ env.HINDSIGHT_API_LLM_MODEL }}
HINDSIGHT_API_LLM_VERTEXAI_SERVICE_ACCOUNT_KEY=/tmp/gcp-credentials.json
HINDSIGHT_API_LLM_VERTEXAI_PROJECT_ID=$HINDSIGHT_API_LLM_VERTEXAI_PROJECT_ID
EOF
- name: Start API server
run: |
./scripts/dev/start-api.sh > /tmp/api-server.log 2>&1 &
echo "Waiting for API server to be ready..."
for i in {1..120}; do
if curl -sf http://localhost:8888/health > /dev/null 2>&1; then
echo "API server is ready after ${i}s"
break
fi
if [ $i -eq 120 ]; then
echo "API server failed to start after 120s"
cat /tmp/api-server.log
exit 1
fi
sleep 1
done
- name: Run Python client tests
working-directory: ./hindsight-clients/python
run: uv run pytest tests -v
- name: Show API server logs
if: always()
run: |
echo "=== API Server Logs ==="
cat /tmp/api-server.log || echo "No API server log found"
test-typescript-client:
runs-on: ubuntu-latest
env:
HINDSIGHT_API_LLM_PROVIDER: vertexai
HINDSIGHT_API_LLM_VERTEXAI_SERVICE_ACCOUNT_KEY: /tmp/gcp-credentials.json
HINDSIGHT_API_LLM_MODEL: google/gemini-2.5-flash-lite
HINDSIGHT_API_URL: http://localhost:8888
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
# Prefer CPU-only PyTorch in CI (but keep PyPI for everything else)
steps:
- uses: actions/checkout@v6
- name: Setup GCP credentials
run: |
printf '%s' '${{ secrets.GCP_VERTEXAI_CREDENTIALS }}' > /tmp/gcp-credentials.json
PROJECT_ID=$(jq -r '.project_id' /tmp/gcp-credentials.json)
echo "HINDSIGHT_API_LLM_VERTEXAI_PROJECT_ID=$PROJECT_ID" >> $GITHUB_ENV
- name: Install uv
uses: astral-sh/setup-uv@v7
with:
enable-cache: true
prune-cache: false
- name: Set up Python
uses: actions/setup-python@v6
with:
python-version-file: ".python-version"
- name: Set up Node.js
uses: actions/setup-node@v6
with:
node-version: '20'
- name: Build API
working-directory: ./hindsight-api-slim
run: uv build
- name: Install API dependencies
working-directory: ./hindsight-api-slim
run: uv sync --frozen --all-extras --index-strategy unsafe-best-match
- name: Install TypeScript client dependencies
working-directory: ./hindsight-clients/typescript
run: npm ci
- name: Build TypeScript client
working-directory: ./hindsight-clients/typescript
run: npm run build
- name: Cache HuggingFace models
uses: actions/cache@v5
with:
path: ~/.cache/huggingface
key: ${{ runner.os }}-huggingface-${{ hashFiles('hindsight-api-slim/pyproject.toml') }}
restore-keys: |
${{ runner.os }}-huggingface-
- name: Pre-download models
working-directory: ./hindsight-api-slim
run: |
uv run python -c "
from sentence_transformers import SentenceTransformer, CrossEncoder
print('Downloading embedding model...')
SentenceTransformer('BAAI/bge-small-en-v1.5')
print('Downloading cross-encoder model...')
CrossEncoder('cross-encoder/ms-marco-MiniLM-L-6-v2')
print('Models downloaded successfully')
"
- name: Create .env file
run: |
cat > .env << EOF
HINDSIGHT_API_LLM_PROVIDER=${{ env.HINDSIGHT_API_LLM_PROVIDER }}
HINDSIGHT_API_LLM_MODEL=${{ env.HINDSIGHT_API_LLM_MODEL }}
HINDSIGHT_API_LLM_VERTEXAI_SERVICE_ACCOUNT_KEY=/tmp/gcp-credentials.json
HINDSIGHT_API_LLM_VERTEXAI_PROJECT_ID=$HINDSIGHT_API_LLM_VERTEXAI_PROJECT_ID
EOF
- name: Start API server
run: |
./scripts/dev/start-api.sh > /tmp/api-server.log 2>&1 &
echo "Waiting for API server to be ready..."
for i in {1..120}; do
if curl -sf http://localhost:8888/health > /dev/null 2>&1; then
echo "API server is ready after ${i}s"
break
fi
if [ $i -eq 120 ]; then
echo "API server failed to start after 120s"
cat /tmp/api-server.log
exit 1
fi
sleep 1
done
- name: Run TypeScript client tests
working-directory: ./hindsight-clients/typescript
run: npm test
- name: Show API server logs
if: always()
run: |
echo "=== API Server Logs ==="
cat /tmp/api-server.log || echo "No API server log found"
test-typescript-client-deno:
runs-on: ubuntu-latest
env:
HINDSIGHT_API_LLM_PROVIDER: vertexai
HINDSIGHT_API_LLM_VERTEXAI_SERVICE_ACCOUNT_KEY: /tmp/gcp-credentials.json
HINDSIGHT_API_LLM_MODEL: google/gemini-2.5-flash-lite
HINDSIGHT_API_URL: http://localhost:8888
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
steps:
- uses: actions/checkout@v6
- name: Setup GCP credentials
run: |
printf '%s' '${{ secrets.GCP_VERTEXAI_CREDENTIALS }}' > /tmp/gcp-credentials.json
PROJECT_ID=$(jq -r '.project_id' /tmp/gcp-credentials.json)
echo "HINDSIGHT_API_LLM_VERTEXAI_PROJECT_ID=$PROJECT_ID" >> $GITHUB_ENV
- name: Install uv
uses: astral-sh/setup-uv@v7
with:
enable-cache: true
prune-cache: false
- name: Set up Python
uses: actions/setup-python@v6
with:
python-version-file: ".python-version"
- name: Set up Node.js
uses: actions/setup-node@v6
with:
node-version: '20'
cache: 'npm'
cache-dependency-path: package-lock.json
- name: Set up Deno
uses: denoland/setup-deno@v2
with:
deno-version: v2.x
- name: Build API
working-directory: ./hindsight-api-slim
run: uv build
- name: Install API dependencies
working-directory: ./hindsight-api-slim
run: uv sync --frozen --all-extras --index-strategy unsafe-best-match
- name: Install TypeScript client dependencies
working-directory: ./hindsight-clients/typescript
run: npm ci
- name: Build TypeScript client
working-directory: ./hindsight-clients/typescript
run: npm run build
- name: Cache HuggingFace models
uses: actions/cache@v5
with:
path: ~/.cache/huggingface
key: ${{ runner.os }}-huggingface-${{ hashFiles('hindsight-api-slim/pyproject.toml') }}
restore-keys: |
${{ runner.os }}-huggingface-
- name: Pre-download models
working-directory: ./hindsight-api-slim
run: |
uv run python -c "
from sentence_transformers import SentenceTransformer, CrossEncoder
print('Downloading embedding model...')
SentenceTransformer('BAAI/bge-small-en-v1.5')
print('Downloading cross-encoder model...')
CrossEncoder('cross-encoder/ms-marco-MiniLM-L-6-v2')
print('Models downloaded successfully')
"
- name: Create .env file
run: |
cat > .env << EOF
HINDSIGHT_API_LLM_PROVIDER=${{ env.HINDSIGHT_API_LLM_PROVIDER }}
HINDSIGHT_API_LLM_MODEL=${{ env.HINDSIGHT_API_LLM_MODEL }}
HINDSIGHT_API_LLM_VERTEXAI_SERVICE_ACCOUNT_KEY=/tmp/gcp-credentials.json
HINDSIGHT_API_LLM_VERTEXAI_PROJECT_ID=$HINDSIGHT_API_LLM_VERTEXAI_PROJECT_ID
EOF
- name: Start API server
run: |
./scripts/dev/start-api.sh > /tmp/api-server.log 2>&1 &
echo "Waiting for API server to be ready..."
for i in {1..120}; do
if curl -sf http://localhost:8888/health > /dev/null 2>&1; then
echo "API server is ready after ${i}s"
break
fi
if [ $i -eq 120 ]; then
echo "API server failed to start after 120s"
cat /tmp/api-server.log
exit 1
fi
sleep 1
done
- name: Run TypeScript client tests (Deno)
working-directory: ./hindsight-clients/typescript
run: npm run test:deno
- name: Show API server logs
if: always()
run: |
echo "=== API Server Logs ==="
cat /tmp/api-server.log || echo "No API server log found"
build-rust-cli-arm64:
runs-on: ubuntu-24.04-arm
steps:
- uses: actions/checkout@v6
- name: Install Rust
uses: dtolnay/rust-toolchain@stable
with:
targets: aarch64-unknown-linux-gnu
- name: Cache cargo
uses: actions/cache@v5
with:
path: |
~/.cargo/registry
~/.cargo/git
hindsight-cli/target
key: linux-arm64-cargo-${{ hashFiles('**/Cargo.lock') }}
- name: Build CLI
working-directory: hindsight-cli
run: cargo build --release --target aarch64-unknown-linux-gnu
test-rust-client:
runs-on: ubuntu-latest
env:
HINDSIGHT_API_LLM_PROVIDER: vertexai
HINDSIGHT_API_LLM_VERTEXAI_SERVICE_ACCOUNT_KEY: /tmp/gcp-credentials.json
HINDSIGHT_API_LLM_MODEL: google/gemini-2.5-flash-lite
HINDSIGHT_API_URL: http://localhost:8888
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
# Prefer CPU-only PyTorch in CI (but keep PyPI for everything else)
steps:
- uses: actions/checkout@v6
- name: Setup GCP credentials
run: |
printf '%s' '${{ secrets.GCP_VERTEXAI_CREDENTIALS }}' > /tmp/gcp-credentials.json
PROJECT_ID=$(jq -r '.project_id' /tmp/gcp-credentials.json)
echo "HINDSIGHT_API_LLM_VERTEXAI_PROJECT_ID=$PROJECT_ID" >> $GITHUB_ENV
- name: Install uv
uses: astral-sh/setup-uv@v7
with:
enable-cache: true
prune-cache: false
- name: Set up Python
uses: actions/setup-python@v6
with:
python-version-file: ".python-version"
- name: Install Rust
uses: dtolnay/rust-toolchain@stable
- name: Cache cargo
uses: actions/cache@v5
with:
path: |
~/.cargo/registry
~/.cargo/git
hindsight-clients/rust/target
key: ${{ runner.os }}-cargo-client-${{ hashFiles('hindsight-clients/rust/Cargo.lock') }}
- name: Build API
working-directory: ./hindsight-api-slim
run: uv build
- name: Install API dependencies
working-directory: ./hindsight-api-slim
run: uv sync --frozen --all-extras --index-strategy unsafe-best-match
- name: Cache HuggingFace models
uses: actions/cache@v5
with:
path: ~/.cache/huggingface
key: ${{ runner.os }}-huggingface-${{ hashFiles('hindsight-api-slim/pyproject.toml') }}
restore-keys: |
${{ runner.os }}-huggingface-
- name: Pre-download models
working-directory: ./hindsight-api-slim
run: |
uv run python -c "
from sentence_transformers import SentenceTransformer, CrossEncoder
print('Downloading embedding model...')
SentenceTransformer('BAAI/bge-small-en-v1.5')
print('Downloading cross-encoder model...')
CrossEncoder('cross-encoder/ms-marco-MiniLM-L-6-v2')
print('Models downloaded successfully')
"
- name: Create .env file
run: |
cat > .env << EOF
HINDSIGHT_API_LLM_PROVIDER=${{ env.HINDSIGHT_API_LLM_PROVIDER }}
HINDSIGHT_API_LLM_MODEL=${{ env.HINDSIGHT_API_LLM_MODEL }}
HINDSIGHT_API_LLM_VERTEXAI_SERVICE_ACCOUNT_KEY=/tmp/gcp-credentials.json
HINDSIGHT_API_LLM_VERTEXAI_PROJECT_ID=$HINDSIGHT_API_LLM_VERTEXAI_PROJECT_ID
EOF
- name: Start API server
run: |
./scripts/dev/start-api.sh > /tmp/api-server.log 2>&1 &
echo "Waiting for API server to be ready..."
for i in {1..120}; do
if curl -sf http://localhost:8888/health > /dev/null 2>&1; then
echo "API server is ready after ${i}s"
break
fi
if [ $i -eq 120 ]; then
echo "API server failed to start after 120s"
cat /tmp/api-server.log
exit 1
fi
sleep 1
done
- name: Run Rust client tests
working-directory: ./hindsight-clients/rust
run: cargo test --lib
- name: Show API server logs
if: always()
run: |
echo "=== API Server Logs ==="
cat /tmp/api-server.log || echo "No API server log found"
test-go-client:
runs-on: ubuntu-latest
env:
HINDSIGHT_API_LLM_PROVIDER: vertexai
HINDSIGHT_API_LLM_VERTEXAI_SERVICE_ACCOUNT_KEY: /tmp/gcp-credentials.json
HINDSIGHT_API_LLM_MODEL: google/gemini-2.5-flash-lite
HINDSIGHT_API_URL: http://localhost:8888
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
# Prefer CPU-only PyTorch in CI (but keep PyPI for everything else)
steps:
- uses: actions/checkout@v6
- name: Setup GCP credentials
run: |
printf '%s' '${{ secrets.GCP_VERTEXAI_CREDENTIALS }}' > /tmp/gcp-credentials.json
PROJECT_ID=$(jq -r '.project_id' /tmp/gcp-credentials.json)
echo "HINDSIGHT_API_LLM_VERTEXAI_PROJECT_ID=$PROJECT_ID" >> $GITHUB_ENV
- name: Install uv
uses: astral-sh/setup-uv@v7
with:
enable-cache: true
prune-cache: false
- name: Set up Python
uses: actions/setup-python@v6
with:
python-version-file: ".python-version"
- name: Set up Go
uses: actions/setup-go@v6
with:
go-version: '1.23'
cache-dependency-path: hindsight-clients/go/go.sum
- name: Build API
working-directory: ./hindsight-api-slim
run: uv build
- name: Install API dependencies
working-directory: ./hindsight-api-slim
run: uv sync --frozen --all-extras --index-strategy unsafe-best-match
- name: Cache HuggingFace models
uses: actions/cache@v5
with:
path: ~/.cache/huggingface
key: ${{ runner.os }}-huggingface-${{ hashFiles('hindsight-api-slim/pyproject.toml') }}
restore-keys: |
${{ runner.os }}-huggingface-
- name: Pre-download models
working-directory: ./hindsight-api-slim
run: |
uv run python -c "
from sentence_transformers import SentenceTransformer, CrossEncoder
print('Downloading embedding model...')
SentenceTransformer('BAAI/bge-small-en-v1.5')
print('Downloading cross-encoder model...')
CrossEncoder('cross-encoder/ms-marco-MiniLM-L-6-v2')
print('Models downloaded successfully')
"
- name: Create .env file
run: |
cat > .env << EOF
HINDSIGHT_API_LLM_PROVIDER=${{ env.HINDSIGHT_API_LLM_PROVIDER }}
HINDSIGHT_API_LLM_MODEL=${{ env.HINDSIGHT_API_LLM_MODEL }}
HINDSIGHT_API_LLM_VERTEXAI_SERVICE_ACCOUNT_KEY=/tmp/gcp-credentials.json
HINDSIGHT_API_LLM_VERTEXAI_PROJECT_ID=$HINDSIGHT_API_LLM_VERTEXAI_PROJECT_ID
EOF
- name: Start API server
run: |
./scripts/dev/start-api.sh > /tmp/api-server.log 2>&1 &
echo "Waiting for API server to be ready..."
for i in {1..120}; do
if curl -sf http://localhost:8888/health > /dev/null 2>&1; then
echo "API server is ready after ${i}s"
break
fi
if [ $i -eq 120 ]; then
echo "API server failed to start after 120s"
cat /tmp/api-server.log
exit 1
fi
sleep 1
done
- name: Build Go client
working-directory: ./hindsight-clients/go
run: go build ./...
- name: Run Go client tests
working-directory: ./hindsight-clients/go
run: go test -v -tags=integration
- name: Show API server logs
if: always()
run: |
echo "=== API Server Logs ==="
cat /tmp/api-server.log || echo "No API server log found"
test-openclaw-integration:
runs-on: ubuntu-latest
env:
HINDSIGHT_API_LLM_PROVIDER: vertexai
HINDSIGHT_API_LLM_VERTEXAI_SERVICE_ACCOUNT_KEY: /tmp/gcp-credentials.json
HINDSIGHT_API_LLM_MODEL: google/gemini-2.5-flash-lite
HINDSIGHT_API_URL: http://localhost:8888
HINDSIGHT_EMBED_PACKAGE_PATH: ${{ github.workspace }}/hindsight-embed
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
steps:
- uses: actions/checkout@v6
- name: Setup GCP credentials
run: |
printf '%s' '${{ secrets.GCP_VERTEXAI_CREDENTIALS }}' > /tmp/gcp-credentials.json
PROJECT_ID=$(jq -r '.project_id' /tmp/gcp-credentials.json)
echo "HINDSIGHT_API_LLM_VERTEXAI_PROJECT_ID=$PROJECT_ID" >> $GITHUB_ENV
- name: Install uv
uses: astral-sh/setup-uv@v7
with:
enable-cache: true
prune-cache: false
- name: Set up Python
uses: actions/setup-python@v6
with:
python-version-file: ".python-version"
- name: Set up Node.js
uses: actions/setup-node@v6
with:
node-version: '22'
- name: Build API
working-directory: ./hindsight-api-slim
run: uv build
- name: Install embed dependencies
working-directory: ./hindsight-embed
run: uv sync --frozen --index-strategy unsafe-best-match
- name: Install API dependencies
working-directory: ./hindsight-api-slim
run: uv sync --frozen --all-extras --index-strategy unsafe-best-match
- name: Cache HuggingFace models
uses: actions/cache@v5
with:
path: ~/.cache/huggingface
key: ${{ runner.os }}-huggingface-${{ hashFiles('hindsight-api-slim/pyproject.toml') }}
restore-keys: |
${{ runner.os }}-huggingface-
- name: Pre-download models
working-directory: ./hindsight-api-slim
run: |
uv run python -c "
from sentence_transformers import SentenceTransformer, CrossEncoder
print('Downloading embedding model...')
SentenceTransformer('BAAI/bge-small-en-v1.5')
print('Downloading cross-encoder model...')
CrossEncoder('cross-encoder/ms-marco-MiniLM-L-6-v2')
print('Models downloaded successfully')
"
- name: Install openclaw integration dependencies
working-directory: ./hindsight-integrations/openclaw
run: npm ci
- name: Create .env file
run: |
cat > .env << EOF
HINDSIGHT_API_LLM_PROVIDER=${{ env.HINDSIGHT_API_LLM_PROVIDER }}
HINDSIGHT_API_LLM_MODEL=${{ env.HINDSIGHT_API_LLM_MODEL }}
HINDSIGHT_API_LLM_VERTEXAI_SERVICE_ACCOUNT_KEY=/tmp/gcp-credentials.json
HINDSIGHT_API_LLM_VERTEXAI_PROJECT_ID=$HINDSIGHT_API_LLM_VERTEXAI_PROJECT_ID
EOF
- name: Start API server
run: |
./scripts/dev/start-api.sh > /tmp/api-server.log 2>&1 &
echo "Waiting for API server to be ready..."
for i in {1..120}; do
if curl -sf http://localhost:8888/health > /dev/null 2>&1; then
echo "API server is ready after ${i}s"
break
fi
if [ $i -eq 120 ]; then
echo "API server failed to start after 120s"
cat /tmp/api-server.log
exit 1
fi
sleep 1
done
- name: Run openclaw integration tests
working-directory: ./hindsight-integrations/openclaw
run: npm run test:integration
- name: Show API server logs
if: always()
run: |
echo "=== API Server Logs ==="
cat /tmp/api-server.log || echo "No API server log found"
test-integration:
runs-on: ubuntu-latest
env:
HINDSIGHT_API_LLM_PROVIDER: vertexai
HINDSIGHT_API_LLM_VERTEXAI_SERVICE_ACCOUNT_KEY: /tmp/gcp-credentials.json
HINDSIGHT_API_LLM_MODEL: google/gemini-2.5-flash-lite
HINDSIGHT_API_URL: http://localhost:8888
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
steps:
- uses: actions/checkout@v6
- name: Setup GCP credentials
run: |
printf '%s' '${{ secrets.GCP_VERTEXAI_CREDENTIALS }}' > /tmp/gcp-credentials.json
PROJECT_ID=$(jq -r '.project_id' /tmp/gcp-credentials.json)
echo "HINDSIGHT_API_LLM_VERTEXAI_PROJECT_ID=$PROJECT_ID" >> $GITHUB_ENV
- name: Install uv
uses: astral-sh/setup-uv@v7
with:
enable-cache: true
prune-cache: false
- name: Set up Python
uses: actions/setup-python@v6
with:
python-version-file: ".python-version"
- name: Build API
working-directory: ./hindsight-api-slim
run: uv build
- name: Install integration test dependencies
working-directory: ./hindsight-integration-tests
run: uv sync --frozen
- name: Install API dependencies
working-directory: ./hindsight-api-slim
run: uv sync --frozen --all-extras --index-strategy unsafe-best-match
- name: Cache HuggingFace models
uses: actions/cache@v5
with:
path: ~/.cache/huggingface
key: ${{ runner.os }}-huggingface-${{ hashFiles('hindsight-api-slim/pyproject.toml') }}
restore-keys: |
${{ runner.os }}-huggingface-
- name: Pre-download models
working-directory: ./hindsight-api-slim
run: |
uv run python -c "
from sentence_transformers import SentenceTransformer, CrossEncoder
print('Downloading embedding model...')
SentenceTransformer('BAAI/bge-small-en-v1.5')
print('Downloading cross-encoder model...')
CrossEncoder('cross-encoder/ms-marco-MiniLM-L-6-v2')
print('Models downloaded successfully')
"
- name: Create .env file
run: |
cat > .env << EOF
HINDSIGHT_API_LLM_PROVIDER=${{ env.HINDSIGHT_API_LLM_PROVIDER }}
HINDSIGHT_API_LLM_MODEL=${{ env.HINDSIGHT_API_LLM_MODEL }}
HINDSIGHT_API_LLM_VERTEXAI_SERVICE_ACCOUNT_KEY=/tmp/gcp-credentials.json
HINDSIGHT_API_LLM_VERTEXAI_PROJECT_ID=$HINDSIGHT_API_LLM_VERTEXAI_PROJECT_ID
EOF
- name: Start API server
run: |
./scripts/dev/start-api.sh > /tmp/api-server.log 2>&1 &
echo "Waiting for API server to be ready..."
for i in {1..120}; do
if curl -sf http://localhost:8888/health > /dev/null 2>&1; then
echo "API server is ready after ${i}s"
break
fi
if [ $i -eq 120 ]; then
echo "API server failed to start after 120s"
cat /tmp/api-server.log
exit 1
fi
sleep 1
done
- name: Run integration tests
working-directory: ./hindsight-integration-tests
run: uv run pytest tests/ -v
- name: Show API server logs
if: always()
run: |
echo "=== API Server Logs ==="
cat /tmp/api-server.log || echo "No API server log found"
test-crewai-integration:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v6
- name: Install uv
uses: astral-sh/setup-uv@v7
with:
enable-cache: true
prune-cache: false
- name: Set up Python
uses: actions/setup-python@v6
with:
python-version-file: ".python-version"
- name: Build crewai integration
working-directory: ./hindsight-integrations/crewai
run: uv build
- name: Install dependencies
working-directory: ./hindsight-integrations/crewai
run: uv sync --frozen
- name: Run tests
working-directory: ./hindsight-integrations/crewai
run: uv run pytest tests -v
test-litellm-integration:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v6
- name: Install uv
uses: astral-sh/setup-uv@v7
with:
enable-cache: true
prune-cache: false
- name: Set up Python
uses: actions/setup-python@v6
with:
python-version-file: ".python-version"
- name: Build litellm integration
working-directory: ./hindsight-integrations/litellm
run: uv build
- name: Install dependencies
working-directory: ./hindsight-integrations/litellm
run: uv sync --frozen --extra dev
- name: Run tests
working-directory: ./hindsight-integrations/litellm
run: uv run pytest tests -v
test-pydantic-ai-integration:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v6
- name: Install uv
uses: astral-sh/setup-uv@v7
with:
enable-cache: true
prune-cache: false
- name: Set up Python
uses: actions/setup-python@v6
with:
python-version-file: ".python-version"
- name: Build pydantic-ai integration
working-directory: ./hindsight-integrations/pydantic-ai
run: uv build
- name: Install dependencies
working-directory: ./hindsight-integrations/pydantic-ai
run: uv sync --frozen
- name: Run tests
working-directory: ./hindsight-integrations/pydantic-ai
run: uv run pytest tests -v
test-pip-slim:
runs-on: ubuntu-latest
env:
HINDSIGHT_API_LLM_PROVIDER: vertexai
HINDSIGHT_API_LLM_VERTEXAI_SERVICE_ACCOUNT_KEY: /tmp/gcp-credentials.json
HINDSIGHT_API_LLM_MODEL: google/gemini-2.5-flash-lite
HINDSIGHT_API_EMBEDDINGS_PROVIDER: cohere
HINDSIGHT_API_RERANKER_PROVIDER: cohere
HINDSIGHT_API_COHERE_API_KEY: ${{ secrets.COHERE_API_KEY }}
steps:
- uses: actions/checkout@v6
- name: Setup GCP credentials
run: |
printf '%s' '${{ secrets.GCP_VERTEXAI_CREDENTIALS }}' > /tmp/gcp-credentials.json
PROJECT_ID=$(jq -r '.project_id' /tmp/gcp-credentials.json)
echo "HINDSIGHT_API_LLM_VERTEXAI_PROJECT_ID=$PROJECT_ID" >> $GITHUB_ENV
- name: Install uv
uses: astral-sh/setup-uv@v7
with:
enable-cache: true
prune-cache: false
- name: Set up Python
uses: actions/setup-python@v6
with:
python-version-file: ".python-version"
- name: Install hindsight-api-slim (embedded-db only, no local ML)
working-directory: ./hindsight-api-slim
run: uv sync --frozen --extra embedded-db --index-strategy unsafe-best-match
- name: Start API server
working-directory: ./hindsight-api-slim
run: |
uv run hindsight-api --port 8888 > /tmp/slim-api-server.log 2>&1 &
for i in $(seq 1 60); do
if curl -s http://localhost:8888/health | grep -q "healthy"; then
echo "API server is ready after ${i}s"
break
fi
if [ $i -eq 60 ]; then
echo "API server failed to start after 60s"
cat /tmp/slim-api-server.log
exit 1
fi
sleep 1
done
- name: Smoke test - retain and recall
run: ./scripts/smoke-test-slim.sh http://localhost:8888
- name: Show API server logs
if: always()
run: |
echo "=== API Server Logs ==="
cat /tmp/slim-api-server.log 2>/dev/null || true
test-embed:
runs-on: ubuntu-latest
env:
HINDSIGHT_API_LLM_PROVIDER: vertexai
HINDSIGHT_API_LLM_VERTEXAI_SERVICE_ACCOUNT_KEY: /tmp/gcp-credentials.json
HINDSIGHT_API_LLM_MODEL: google/gemini-2.5-flash-lite
# Prefer CPU-only PyTorch in CI
steps:
- uses: actions/checkout@v6
- name: Setup GCP credentials
run: |
printf '%s' '${{ secrets.GCP_VERTEXAI_CREDENTIALS }}' > /tmp/gcp-credentials.json
PROJECT_ID=$(jq -r '.project_id' /tmp/gcp-credentials.json)
echo "HINDSIGHT_API_LLM_VERTEXAI_PROJECT_ID=$PROJECT_ID" >> $GITHUB_ENV
- name: Install uv
uses: astral-sh/setup-uv@v7
with:
enable-cache: true
prune-cache: false
- name: Set up Python
uses: actions/setup-python@v6
with:
python-version-file: ".python-version"
- name: Install dependencies
working-directory: ./hindsight-embed
run: uv sync --frozen --index-strategy unsafe-best-match
- name: Install API dependencies (with local-ml and embedded-db for smoke test)
working-directory: ./hindsight-api-slim
run: uv sync --frozen --all-extras --index-strategy unsafe-best-match
- name: Cache HuggingFace models
uses: actions/cache@v5
with:
path: ~/.cache/huggingface
key: ${{ runner.os }}-huggingface-embed-${{ hashFiles('hindsight-embed/pyproject.toml') }}
restore-keys: |
${{ runner.os }}-huggingface-embed-
${{ runner.os }}-huggingface-
- name: Run unit and integration tests
working-directory: ./hindsight-embed
run: uv run pytest tests/ -v
- name: Run smoke test
working-directory: ./hindsight-embed
run: ./test.sh
test-hindsight-all:
runs-on: ubuntu-latest
env:
HINDSIGHT_API_LLM_PROVIDER: vertexai
HINDSIGHT_API_LLM_VERTEXAI_SERVICE_ACCOUNT_KEY: /tmp/gcp-credentials.json
HINDSIGHT_API_LLM_MODEL: google/gemini-2.5-flash-lite
# For test_server_integration.py compatibility
HINDSIGHT_LLM_PROVIDER: vertexai
HINDSIGHT_LLM_VERTEXAI_SERVICE_ACCOUNT_KEY: /tmp/gcp-credentials.json
HINDSIGHT_LLM_MODEL: google/gemini-2.5-flash-lite
# Prefer CPU-only PyTorch in CI
steps:
- uses: actions/checkout@v6
- name: Setup GCP credentials
run: |
printf '%s' '${{ secrets.GCP_VERTEXAI_CREDENTIALS }}' > /tmp/gcp-credentials.json
PROJECT_ID=$(jq -r '.project_id' /tmp/gcp-credentials.json)
echo "HINDSIGHT_API_LLM_VERTEXAI_PROJECT_ID=$PROJECT_ID" >> $GITHUB_ENV
- name: Install uv
uses: astral-sh/setup-uv@v7
with:
enable-cache: true
prune-cache: false
- name: Set up Python
uses: actions/setup-python@v6
with:
python-version-file: ".python-version"
- name: Build hindsight-all
working-directory: ./hindsight-all
run: uv build
- name: Install dependencies
working-directory: ./hindsight-all
run: uv sync --frozen --extra test --index-strategy unsafe-best-match
- name: Cache HuggingFace models
uses: actions/cache@v5
with:
path: ~/.cache/huggingface
key: ${{ runner.os }}-huggingface-all-${{ hashFiles('hindsight-all/pyproject.toml') }}
restore-keys: |
${{ runner.os }}-huggingface-all-
${{ runner.os }}-huggingface-
- name: Run unit tests
working-directory: ./hindsight-all
run: uv run pytest tests/ -v
test-doc-examples:
runs-on: ubuntu-latest
strategy:
fail-fast: false
matrix:
language: [python, node, cli, go]
name: test-doc-examples (${{ matrix.language }})
env:
HINDSIGHT_API_LLM_PROVIDER: vertexai
HINDSIGHT_API_LLM_VERTEXAI_SERVICE_ACCOUNT_KEY: /tmp/gcp-credentials.json
HINDSIGHT_API_LLM_MODEL: google/gemini-2.5-flash-lite
HINDSIGHT_API_URL: http://localhost:8888
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
steps:
- uses: actions/checkout@v6
- name: Setup GCP credentials
run: |
printf '%s' '${{ secrets.GCP_VERTEXAI_CREDENTIALS }}' > /tmp/gcp-credentials.json
PROJECT_ID=$(jq -r '.project_id' /tmp/gcp-credentials.json)
echo "HINDSIGHT_API_LLM_VERTEXAI_PROJECT_ID=$PROJECT_ID" >> $GITHUB_ENV
- name: Install Rust
if: matrix.language == 'cli'
uses: dtolnay/rust-toolchain@stable
- name: Cache cargo
if: matrix.language == 'cli'
uses: actions/cache@v5
with:
path: |
~/.cargo/registry
~/.cargo/git
hindsight-cli/target
key: ${{ runner.os }}-cargo-${{ hashFiles('**/Cargo.lock') }}
- name: Build CLI
if: matrix.language == 'cli'
working-directory: hindsight-cli
run: |
cargo build --release
cp target/release/hindsight /usr/local/bin/hindsight
- name: Install uv
uses: astral-sh/setup-uv@v7
with:
enable-cache: true
prune-cache: false
- name: Set up Python
uses: actions/setup-python@v6
with:
python-version-file: ".python-version"
- name: Set up Node.js
if: matrix.language == 'node'
uses: actions/setup-node@v6
with:
node-version: '20'
cache: 'npm'
cache-dependency-path: package-lock.json
- name: Install Python client dependencies
if: matrix.language == 'python'
working-directory: ./hindsight-clients/python
run: uv sync --frozen --extra test --index-strategy unsafe-best-match
- name: Build and install API
working-directory: ./hindsight-api-slim
run: |
uv build
uv sync --frozen --all-extras --index-strategy unsafe-best-match
- name: Install TypeScript client
if: matrix.language == 'node'
run: |
npm ci --workspace=hindsight-clients/typescript
npm run build --workspace=hindsight-clients/typescript
- name: Cache HuggingFace models
uses: actions/cache@v5
with:
path: ~/.cache/huggingface
key: ${{ runner.os }}-huggingface-${{ hashFiles('hindsight-api-slim/pyproject.toml') }}
restore-keys: |
${{ runner.os }}-huggingface-
- name: Pre-download models
working-directory: ./hindsight-api-slim
run: |
uv run python -c "
from sentence_transformers import SentenceTransformer, CrossEncoder
print('Downloading embedding model...')
SentenceTransformer('BAAI/bge-small-en-v1.5')
print('Downloading reranker model...')
CrossEncoder('cross-encoder/ms-marco-MiniLM-L-6-v2')
print('Models downloaded successfully')
"
- name: Create .env file
run: |
cat > .env << EOF
HINDSIGHT_API_LLM_PROVIDER=${{ env.HINDSIGHT_API_LLM_PROVIDER }}
HINDSIGHT_API_LLM_MODEL=${{ env.HINDSIGHT_API_LLM_MODEL }}
HINDSIGHT_API_LLM_VERTEXAI_SERVICE_ACCOUNT_KEY=/tmp/gcp-credentials.json
HINDSIGHT_API_LLM_VERTEXAI_PROJECT_ID=$HINDSIGHT_API_LLM_VERTEXAI_PROJECT_ID
EOF
- name: Start API server
run: |
./scripts/dev/start-api.sh > /tmp/api-server.log 2>&1 &
echo "Waiting for API server to be ready..."
for i in {1..120}; do
if curl -sf http://localhost:8888/health > /dev/null 2>&1; then
echo "API server is ready after ${i}s"
break
fi
if [ $i -eq 120 ]; then
echo "API server failed to start after 120s"
cat /tmp/api-server.log
exit 1
fi
sleep 1
done
- name: Configure CLI
if: matrix.language == 'cli'
run: hindsight configure --api-url http://localhost:8888
- name: Run doc examples (${{ matrix.language }})
run: ./scripts/test-doc-examples.sh --lang ${{ matrix.language }}
- name: Show API server logs
if: always()
run: |
echo "=== API Server Logs ==="
cat /tmp/api-server.log || echo "No API server log found"
test-upgrade:
runs-on: ubuntu-latest
env:
HINDSIGHT_API_LLM_PROVIDER: vertexai
HINDSIGHT_API_LLM_VERTEXAI_SERVICE_ACCOUNT_KEY: /tmp/gcp-credentials.json
HINDSIGHT_API_LLM_MODEL: google/gemini-2.5-flash-lite
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
steps:
- uses: actions/checkout@v6
with:
fetch-depth: 0 # Full history needed for git clone of tags
- name: Setup GCP credentials
run: |
printf '%s' '${{ secrets.GCP_VERTEXAI_CREDENTIALS }}' > /tmp/gcp-credentials.json
PROJECT_ID=$(jq -r '.project_id' /tmp/gcp-credentials.json)
echo "HINDSIGHT_API_LLM_VERTEXAI_PROJECT_ID=$PROJECT_ID" >> $GITHUB_ENV
- name: Fetch tags
run: git fetch --tags
- name: Install uv
uses: astral-sh/setup-uv@v7
with:
enable-cache: true
prune-cache: false
- name: Set up Python
uses: actions/setup-python@v6
with:
python-version-file: ".python-version"
- name: Cache HuggingFace models
uses: actions/cache@v5
with:
path: ~/.cache/huggingface
key: ${{ runner.os }}-huggingface-${{ hashFiles('hindsight-api-slim/pyproject.toml') }}
restore-keys: |
${{ runner.os }}-huggingface-
- name: Install hindsight-dev dependencies
working-directory: ./hindsight-dev
run: uv sync --frozen --extra test --index-strategy unsafe-best-match
- name: Install current hindsight-api
working-directory: ./hindsight-api-slim
run: uv sync --frozen --all-extras --index-strategy unsafe-best-match
- name: Pre-download models
working-directory: ./hindsight-api-slim
run: |
uv run python -c "
from sentence_transformers import SentenceTransformer, CrossEncoder
print('Downloading embedding model...')
SentenceTransformer('BAAI/bge-small-en-v1.5')
print('Downloading cross-encoder model...')
CrossEncoder('cross-encoder/ms-marco-MiniLM-L-6-v2')
print('Models downloaded successfully')
"
- name: Run upgrade tests
working-directory: ./hindsight-dev
run: uv run pytest upgrade_tests/ -v --tb=short
- name: Show upgrade test logs
if: always()
run: |
echo "=== Upgrade Test Server Logs ==="
for log in /tmp/upgrade-test-*.log; do
if [ -f "$log" ]; then
echo ""
echo "--- $log ---"
tail -500 "$log"
fi
done
verify-generated-files:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v6
- name: Install uv
uses: astral-sh/setup-uv@v7
with:
enable-cache: true
- name: Set up Python
uses: actions/setup-python@v6
with:
python-version-file: ".python-version"
- name: Set up Node.js
uses: actions/setup-node@v6
with:
node-version: '20'
cache: 'npm'
cache-dependency-path: package-lock.json
- name: Install Rust
uses: dtolnay/rust-toolchain@stable
- name: Cache cargo
uses: actions/cache@v5
with:
path: |
~/.cargo/registry
~/.cargo/git
key: ${{ runner.os }}-cargo-gen-${{ hashFiles('**/Cargo.lock') }}
- name: Install Node dependencies
run: npm ci
- name: Install Python dependencies
run: |
cd hindsight-dev && uv sync --frozen --index-strategy unsafe-best-match
cd ../hindsight-api && uv sync --frozen --index-strategy unsafe-best-match
cd ../hindsight-embed && uv sync --frozen --index-strategy unsafe-best-match
- name: Run generate-openapi
run: ./scripts/generate-openapi.sh
- name: Run generate-clients
run: ./scripts/generate-clients.sh
- name: Run generate-docs-skill
run: ./scripts/generate-docs-skill.sh
- name: Run lint
run: ./scripts/hooks/lint.sh
- name: Verify no uncommitted changes
run: |
if [ -n "$(git status --porcelain)" ]; then
echo "❌ Error: Generated files are out of sync with committed files."
echo ""
echo "The following files have changed after running generation scripts:"
git status --porcelain
echo ""
echo "Please run the following commands locally and commit the changes:"
echo " ./scripts/generate-openapi.sh"
echo " ./scripts/generate-clients.sh"
echo " ./scripts/generate-docs-skill.sh"
echo " ./scripts/hooks/lint.sh"
echo ""
git diff --stat
exit 1
fi
echo "✓ All generated files are up to date"
check-openapi-compatibility:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v6
with:
fetch-depth: 0 # Fetch full git history to access base branch
- name: Install uv
uses: astral-sh/setup-uv@v7
with:
enable-cache: true
- name: Set up Python
uses: actions/setup-python@v6
with:
python-version-file: ".python-version"
- name: Install hindsight-dev dependencies
run: |
cd hindsight-dev && uv sync --frozen --index-strategy unsafe-best-match
- name: Check OpenAPI compatibility with base branch
run: |
# Get the base branch (usually main)
BASE_BRANCH="${{ github.base_ref }}"
if [ -z "$BASE_BRANCH" ]; then
echo "⚠️ Warning: No base branch found (not a PR?). Skipping compatibility check."
exit 0
fi
echo "Checking OpenAPI compatibility against base branch: $BASE_BRANCH"
# Extract the old OpenAPI spec from base branch
git show "origin/$BASE_BRANCH:hindsight-docs/static/openapi.json" > /tmp/old-openapi.json
if [ ! -s /tmp/old-openapi.json ]; then
echo "⚠️ Warning: Could not find OpenAPI spec in base branch. Skipping compatibility check."
exit 0
fi
# Check compatibility using our tool
cd hindsight-dev
uv run check-openapi-compatibility /tmp/old-openapi.json ../hindsight-docs/static/openapi.json