fix(azure): add GRAPH_BACKEND, NEO4J, LLM_EMBED, LLM_SMALL to config and bicep

All variables now flow from config.sh through 2-build-deploy.sh to the
container env, so GRAPH_BACKEND=graphiti is honoured at runtime.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

azure/2-build-deploy.sh

@@ -140,12 +140,19 @@ DEPLOY_OUTPUT=$(az deployment group create \
       neo4jPassword="${NEO4J_PASSWORD:-}" \
       neo4jUri="${NEO4J_URI:-bolt://localhost:7687}" \
       neo4jUser="${NEO4J_USER:-neo4j}" \
+      neo4jDatabase="${NEO4J_DATABASE:-neo4j}" \
       graphBackend="${GRAPH_BACKEND:-zep}" \
       secretKey="$SECRET_KEY" \
       llmBaseUrl="$LLM_BASE_URL" \
       llmModelName="$LLM_MODEL_NAME" \
       llmBoostBaseUrl="${LLM_BOOST_BASE_URL:-}" \
       llmBoostModelName="${LLM_BOOST_MODEL_NAME:-}" \
+      llmEmbedApiKey="${LLM_EMBED_API_KEY:-}" \
+      llmEmbedBaseUrl="${LLM_EMBED_BASE_URL:-}" \
+      llmEmbedModelName="${LLM_EMBED_MODEL_NAME:-}" \
+      llmSmallApiKey="${LLM_SMALL_API_KEY:-}" \
+      llmSmallBaseUrl="${LLM_SMALL_BASE_URL:-}" \
+      llmSmallModelName="${LLM_SMALL_MODEL_NAME:-}" \
       oasisDefaultMaxRounds="${OASIS_DEFAULT_MAX_ROUNDS:-10}" \
       reportAgentMaxToolCalls="${REPORT_AGENT_MAX_TOOL_CALLS:-5}" \
       reportAgentMaxReflectionRounds="${REPORT_AGENT_MAX_REFLECTION_ROUNDS:-2}" \

azure/config.sh.example

@@ -53,22 +53,22 @@ ZEP_API_KEY="<la-teva-zep-api-key>"
 
 # --- Graphiti + Neo4j (si GRAPH_BACKEND=graphiti) ---
 # URI bolt del servidor Neo4j (pot ser una VM Azure, ACI, etc.)
-# NEO4J_URI="bolt://<ip-o-hostname>:7687"
+NEO4J_URI="bolt://<ip-o-hostname>:7687"
-# NEO4J_USER="neo4j"
+NEO4J_USER="neo4j"
-# NEO4J_PASSWORD="<contrasenya-neo4j>"
+NEO4J_PASSWORD="<contrasenya-neo4j>"
-# GRAPHITI_BATCH_SIZE="10"  # chunks per crida bulk; més alt = més ràpid però més paral·lelisme LLM
+NEO4J_DATABASE="neo4j"
 
 # --- Embedding LLM (usat per Graphiti per a indexació vectorial) ---
 # Si no s'estableix, fa fallback a LLM_API_KEY / LLM_BASE_URL.
-# LLM_EMBED_API_KEY="<la-teva-embed-api-key>"
+LLM_EMBED_API_KEY=""
-# LLM_EMBED_BASE_URL="https://<recurs>.cognitiveservices.azure.com/openai/deployments/<embed-deployment>/embeddings?api-version=2024-05-01-preview"
+LLM_EMBED_BASE_URL=""
-# LLM_EMBED_MODEL_NAME="text-embedding-3-small"
+LLM_EMBED_MODEL_NAME="text-embedding-3-small"
 
 # --- Small/fast LLM (usat per Graphiti per a reranking i tasques lleugeres) ---
 # Si no s'estableix, fa fallback a LLM_API_KEY / LLM_BASE_URL / LLM_MODEL_NAME.
-# LLM_SMALL_API_KEY="<la-teva-small-api-key>"
+LLM_SMALL_API_KEY=""
-# LLM_SMALL_BASE_URL="https://<recurs>.cognitiveservices.azure.com/openai/deployments/<small-model>/chat/completions?api-version=2024-05-01-preview"
+LLM_SMALL_BASE_URL=""
-# LLM_SMALL_MODEL_NAME="gpt-4o-mini"
+LLM_SMALL_MODEL_NAME=""
 
 # ── Simulació OASIS (valors per defecte recomanats) ───────────────────────────
 OASIS_DEFAULT_MAX_ROUNDS="10"

azure/container-app.bicep

@@ -91,6 +91,35 @@ param llmBoostBaseUrl string = ''
 @description('Nom del model LLM accelerador (opcional)')
 param llmBoostModelName string = ''
 
+// ─── Paràmetres LLM embeddings (opcionals — fallback a LLM principal) ─────────
+
+@description('Clau API LLM embeddings (opcional)')
+@secure()
+param llmEmbedApiKey string = ''
+
+@description('URL base LLM embeddings (opcional)')
+param llmEmbedBaseUrl string = ''
+
+@description('Nom del model d\'embeddings')
+param llmEmbedModelName string = ''
+
+// ─── Paràmetres LLM petit/ràpid (opcionals — fallback a LLM principal) ────────
+
+@description('Clau API LLM petit (opcional)')
+@secure()
+param llmSmallApiKey string = ''
+
+@description('URL base LLM petit (opcional)')
+param llmSmallBaseUrl string = ''
+
+@description('Nom del model LLM petit (opcional)')
+param llmSmallModelName string = ''
+
+// ─── Paràmetres Neo4j addicionals ─────────────────────────────────────────────
+
+@description('Nom de la base de dades Neo4j')
+param neo4jDatabase string = 'neo4j'
+
 // ─── Paràmetres de simulació OASIS ───────────────────────────────────────────
 
 @description('Nombre màxim de rondes per a la simulació OASIS')
@@ -115,9 +144,11 @@ var mandatorySecrets = [
   { name: 'secret-key',    value: secretKey }
 ]
 var optionalSecrets = concat(
-  empty(llmBoostApiKey) ? [] : [{ name: 'llm-boost-api-key', value: llmBoostApiKey }],
+  empty(llmBoostApiKey)  ? [] : [{ name: 'llm-boost-api-key',  value: llmBoostApiKey }],
-  empty(zepApiKey)      ? [] : [{ name: 'zep-api-key',       value: zepApiKey }],
+  empty(llmEmbedApiKey)  ? [] : [{ name: 'llm-embed-api-key',  value: llmEmbedApiKey }],
-  empty(neo4jPassword)  ? [] : [{ name: 'neo4j-password',    value: neo4jPassword }]
+  empty(llmSmallApiKey)  ? [] : [{ name: 'llm-small-api-key',  value: llmSmallApiKey }],
+  empty(zepApiKey)       ? [] : [{ name: 'zep-api-key',        value: zepApiKey }],
+  empty(neo4jPassword)   ? [] : [{ name: 'neo4j-password',     value: neo4jPassword }]
 )
 var allSecrets = concat(mandatorySecrets, optionalSecrets)
 
@@ -133,6 +164,11 @@ var mandatoryEnv = [
   { name: 'GRAPH_BACKEND',         value: graphBackend }
   { name: 'NEO4J_URI',             value: neo4jUri }
   { name: 'NEO4J_USER',            value: neo4jUser }
+  { name: 'NEO4J_DATABASE',        value: neo4jDatabase }
+  { name: 'LLM_EMBED_BASE_URL',    value: llmEmbedBaseUrl }
+  { name: 'LLM_EMBED_MODEL_NAME',  value: llmEmbedModelName }
+  { name: 'LLM_SMALL_BASE_URL',    value: llmSmallBaseUrl }
+  { name: 'LLM_SMALL_MODEL_NAME',  value: llmSmallModelName }
   { name: 'OASIS_DEFAULT_MAX_ROUNDS',           value: oasisDefaultMaxRounds }
   { name: 'REPORT_AGENT_MAX_TOOL_CALLS',        value: reportAgentMaxToolCalls }
   { name: 'REPORT_AGENT_MAX_REFLECTION_ROUNDS', value: reportAgentMaxReflectionRounds }
@@ -140,9 +176,11 @@ var mandatoryEnv = [
   { name: 'FLASK_DEBUG', value: 'False' }
 ]
 var optionalEnv = concat(
-  empty(llmBoostApiKey) ? [] : [{ name: 'LLM_BOOST_API_KEY', secretRef: 'llm-boost-api-key' }],
+  empty(llmBoostApiKey) ? [] : [{ name: 'LLM_BOOST_API_KEY',  secretRef: 'llm-boost-api-key' }],
-  empty(zepApiKey)      ? [] : [{ name: 'ZEP_API_KEY',       secretRef: 'zep-api-key' }],
+  empty(llmEmbedApiKey) ? [] : [{ name: 'LLM_EMBED_API_KEY',  secretRef: 'llm-embed-api-key' }],
-  empty(neo4jPassword)  ? [] : [{ name: 'NEO4J_PASSWORD',    secretRef: 'neo4j-password' }]
+  empty(llmSmallApiKey) ? [] : [{ name: 'LLM_SMALL_API_KEY',  secretRef: 'llm-small-api-key' }],
+  empty(zepApiKey)      ? [] : [{ name: 'ZEP_API_KEY',        secretRef: 'zep-api-key' }],
+  empty(neo4jPassword)  ? [] : [{ name: 'NEO4J_PASSWORD',     secretRef: 'neo4j-password' }]
 )
 var allEnv = concat(mandatoryEnv, optionalEnv)