fix: Authentik JWT scope + ornith:35b reasoning field + observability logs

Auth:
- Add scope=openid roles to token request (required for llm:inference)
- Derive TOKEN_URL from ISSUER or use TOKEN_URL env var
- Support both AUTHENTIK_* and memory-agent-oidc secret key names

ornith:35b support:
- Handle reasoning field (content empty, JSON in reasoning)
- Increase max_tokens to 12000 (reasoning models need headroom)
- Fix trailing characters in fact extraction JSON parsing
- Timeout increased to 120s for fact extraction

Observability:
- target="observability" structured logs for all LLM calls
- event=llm_entity_call: model, endpoint, tokens, has_reasoning
- event=llm_fact_call: model, endpoint, tokens, duration_ms
- event=authentik_jwt_init: issuer, client_id
- event=fact_jwt_fallback: error detail on JWT failure

Column alignment:
- INSERT uses source_id/target_id matching BFS query schema

E2E tested with ornith:35b via api.riotpiao.com:
- 6 entities, 4 edges with temporal facts
- All observability logs present

crates/mem-cli/src/ingest_worker.rs

@@ -207,7 +207,7 @@ async fn save_entity_to_db(pool: &PgPool, entity: &mem_core::entity::Entity) ->
 async fn save_edge_to_db(pool: &PgPool, edge: &mem_core::edge::Edge) -> Result<()> {
     // Try temporal schema first (id, project_id, source_entity_id, etc)
     let result = sqlx::query(
-        "INSERT INTO memory_edge (id, project_id, source_entity_id, target_entity_id, relation_type, fact, t_valid, t_invalid, t_created, confidence)
+        "INSERT INTO memory_edge (id, project_id, source_id, target_id, relation_type, fact, t_valid, t_invalid, t_created, confidence)
          VALUES ($1, $2, $3, $4, $5, $6, $7::TIMESTAMPTZ, $8::TIMESTAMPTZ, $9::TIMESTAMPTZ, $10)
          ON CONFLICT (id) DO NOTHING"
     )

crates/mem-ingest/src/authentik_jwt.rs

@@ -52,13 +52,24 @@ impl AuthentikJwtIssuer {
 
     /// From environment: AUTHENTIK_ISSUER, AUTHENTIK_CLIENT_ID, AUTHENTIK_CLIENT_SECRET
     pub fn from_env() -> Result<Self> {
+        // Support both naming conventions: AUTHENTIK_* and memory-agent-oidc secret keys
         let issuer = std::env::var("AUTHENTIK_ISSUER")
-            .map_err(|_| anyhow!("AUTHENTIK_ISSUER not set"))?;
+            .or_else(|_| std::env::var("ISSUER"))
+            .map_err(|_| anyhow!("AUTHENTIK_ISSUER or ISSUER not set"))?;
         let client_id = std::env::var("AUTHENTIK_CLIENT_ID")
-            .map_err(|_| anyhow!("AUTHENTIK_CLIENT_ID not set"))?;
+            .or_else(|_| std::env::var("CLIENT_ID"))
+            .map_err(|_| anyhow!("AUTHENTIK_CLIENT_ID or CLIENT_ID not set"))?;
         let client_secret = std::env::var("AUTHENTIK_CLIENT_SECRET")
-            .map_err(|_| anyhow!("AUTHENTIK_CLIENT_SECRET not set"))?;
+            .or_else(|_| std::env::var("CLIENT_SECRET"))
+            .map_err(|_| anyhow!("AUTHENTIK_CLIENT_SECRET or CLIENT_SECRET not set"))?;
 
+        tracing::info!(
+            target: "observability",
+            event = "authentik_jwt_init",
+            issuer = %issuer,
+            client_id = %client_id,
+            "Authentik JWT issuer initialized"
+        );
         Ok(Self::new(&issuer, &client_id, &client_secret))
     }
 
@@ -92,12 +103,25 @@ impl AuthentikJwtIssuer {
         let client = reqwest::Client::new();
         
         // Authentik OAuth2 token endpoint
-        let token_url = format!("{}/token/", self.issuer_url.trim_end_matches('/'));
+        // Use TOKEN_URL env var if set, otherwise derive from issuer
+        let token_url = std::env::var("TOKEN_URL")
+            .or_else(|_| std::env::var("AUTHENTIK_TOKEN_URL"))
+            .unwrap_or_else(|_| {
+                // Derive: strip app-specific path, use global token endpoint
+                // e.g., https://authentik.riotpiao.com/application/o/memory-agent/
+                //     -> https://authentik.riotpiao.com/application/o/token/
+                if let Some(base) = self.issuer_url.rfind("/o/") {
+                    format!("{}/o/token/", &self.issuer_url[..base])
+                } else {
+                    format!("{}/token/", self.issuer_url.trim_end_matches('/'))
+                }
+            });
         
         let params = [
             ("grant_type", "client_credentials"),
             ("client_id", &self.client_id),
             ("client_secret", &self.client_secret),
+            ("scope", "openid roles"),
         ];
 
         let response = client

crates/mem-ingest/src/entity_extractor.rs

@@ -156,7 +156,7 @@ impl LlmEntityExtractor {
                 {"role": "user", "content": prompt}
             ],
             "temperature": 0.3,
-            "max_tokens": 1500
+            "max_tokens": 12000
         });
         
         let response = client
@@ -179,16 +179,28 @@ impl LlmEntityExtractor {
         }
         
         let data: serde_json::Value = response.json().await?;
-        let raw_content = data["choices"][0]["message"]["content"]
-            .as_str()
-            .unwrap_or("{}")
-            .to_string();
+        // Extract content — some models put JSON in "content", others in "reasoning"
+        let msg = &data["choices"][0]["message"];
+        let raw_content = msg["content"].as_str().unwrap_or("").to_string();
+        let raw_reasoning = msg["reasoning"].as_str().unwrap_or("").to_string();
         
-        // Strip <think>...</think> tags from reasoning models
-        let content = Self::clean_llm_response(&raw_content);
+        // Use content if non-empty, otherwise try reasoning field
+        let raw = if !raw_content.trim().is_empty() { &raw_content } else { &raw_reasoning };
+        let content = Self::clean_llm_response(raw);
         
-        tracing::debug!("LLM raw response length={}, cleaned length={}", raw_content.len(), content.len());
-        tracing::debug!("LLM cleaned content: {}", content);
+        let tokens = &data["usage"];
+        tracing::info!(
+            target: "observability",
+            event = "llm_entity_call",
+            model = %model,
+            endpoint = %endpoint,
+            raw_len = raw.len(),
+            cleaned_len = content.len(),
+            prompt_tokens = %tokens["prompt_tokens"],
+            completion_tokens = %tokens["completion_tokens"],
+            has_reasoning = !raw_reasoning.is_empty(),
+            "LLM entity extraction call complete"
+        );
         Ok(content)
     }
     

crates/mem-ingest/src/fact_extractor.rs

@@ -82,11 +82,16 @@ impl FactExtractor for SimpleFactExtractor {
 /// Extracts relationships between entity pairs using LLM
 pub struct LlmFactExtractor {
     model_name: String,
+    jwt_issuer: Option<std::sync::Arc<tokio::sync::Mutex<crate::authentik_jwt::AuthentikJwtIssuer>>>,
 }
 
 impl LlmFactExtractor {
     pub fn new(model_name: &str) -> Self {
-        Self { model_name: model_name.to_string() }
+        let jwt_issuer = crate::authentik_jwt::AuthentikJwtIssuer::from_env().ok();
+        Self {
+            model_name: model_name.to_string(),
+            jwt_issuer: jwt_issuer.map(|iss| std::sync::Arc::new(tokio::sync::Mutex::new(iss))),
+        }
     }
 
     /// Clean LLM response: strip thinking tags, markdown fences, extract JSON
@@ -114,12 +119,27 @@ impl LlmFactExtractor {
 
     async fn call_llm(&self, prompt: &str) -> Result<String> {
         let endpoint = std::env::var("LLM_ENDPOINT")
-            .unwrap_or_else(|_| "http://localhost:8081/v1/chat/completions".to_string());
+            .unwrap_or_else(|_| "http://localhost:11434/v1/chat/completions".to_string());
 
-        let api_key = std::env::var("LLM_API_KEY")
-            .or_else(|_| std::env::var("MEM_API_KEY"))
-            .unwrap_or_else(|_| "default-key".to_string());
+        // Get auth header: Authentik JWT if configured, else API key
+        let auth_header = if let Some(jwt_issuer) = &self.jwt_issuer {
+            let issuer = jwt_issuer.lock().await;
+            match issuer.get_access_token().await {
+                Ok(token) => format!("Bearer {}", token),
+                Err(e) => {
+                    tracing::warn!(target: "observability", event = "fact_jwt_fallback", error = %e, "JWT failed, using API key");
+                    let key = std::env::var("LLM_API_KEY").unwrap_or_else(|_| "default-key".to_string());
+                    format!("Bearer {}", key)
+                }
+            }
+        } else {
+            let key = std::env::var("LLM_API_KEY")
+                .or_else(|_| std::env::var("MEM_API_KEY"))
+                .unwrap_or_else(|_| "default-key".to_string());
+            format!("Bearer {}", key)
+        };
 
+        let start = std::time::Instant::now();
         let client = reqwest::Client::new();
         let payload = serde_json::json!({
             "model": self.model_name,
@@ -127,34 +147,50 @@ impl LlmFactExtractor {
                 {"role": "system", "content": "You are a fact extraction specialist. Extract relationships between entities from text. Output ONLY valid JSON."},
                 {"role": "user", "content": prompt}
             ],
-            "max_tokens": 1500,
+            "max_tokens": 12000,
             "temperature": 0.1
         });
 
         let response = client
             .post(&endpoint)
-            .header("Authorization", format!("Bearer {}", api_key))
+            .header("Authorization", &auth_header)
             .header("Content-Type", "application/json")
             .json(&payload)
-            .timeout(std::time::Duration::from_secs(90))
+            .timeout(std::time::Duration::from_secs(120))
             .send()
             .await?;
 
-        if !response.status().is_success() {
-            let status = response.status();
+        let status = response.status();
+        if !status.is_success() {
             let body = response.text().await.unwrap_or_default();
-            tracing::warn!("Fact extraction LLM error: {} - {}", status, body);
+            tracing::warn!(target: "observability", event = "fact_llm_error", status = %status, body = %body, "Fact LLM call failed");
             return Err(anyhow::anyhow!("LLM API error: {}", status));
         }
 
+        let elapsed = start.elapsed();
         let data: serde_json::Value = response.json().await?;
-        let raw = data["choices"][0]["message"]["content"]
-            .as_str()
-            .unwrap_or("{}")
-            .to_string();
         
-        let cleaned = Self::clean_llm_response(&raw);
-        tracing::debug!("Fact LLM response: raw_len={}, cleaned_len={}", raw.len(), cleaned.len());
+        // Handle both content and reasoning fields (ornith uses reasoning)
+        let msg = &data["choices"][0]["message"];
+        let raw_content = msg["content"].as_str().unwrap_or("").to_string();
+        let raw_reasoning = msg["reasoning"].as_str().unwrap_or("").to_string();
+        let raw = if !raw_content.trim().is_empty() { &raw_content } else { &raw_reasoning };
+        let cleaned = Self::clean_llm_response(raw);
+
+        let tokens = &data["usage"];
+        tracing::info!(
+            target: "observability",
+            event = "llm_fact_call",
+            model = %self.model_name,
+            endpoint = %endpoint,
+            raw_len = raw.len(),
+            cleaned_len = cleaned.len(),
+            prompt_tokens = %tokens["prompt_tokens"],
+            completion_tokens = %tokens["completion_tokens"],
+            duration_ms = elapsed.as_millis() as u64,
+            has_reasoning = !raw_reasoning.is_empty(),
+            "LLM fact extraction call complete"
+        );
         Ok(cleaned)
     }
 }
@@ -230,7 +266,29 @@ Respond in JSON:
             fact: String,
         }
 
-        match serde_json::from_str::<FactResponse>(&response) {
+        // Try parsing, if trailing chars error try trimming to valid JSON
+        let parsed = match serde_json::from_str::<FactResponse>(&response) {
+            Ok(r) => Ok(r),
+            Err(e) if e.to_string().contains("trailing") => {
+                // Find the closing of the top-level object and retry
+                let mut depth = 0i32;
+                let mut end = 0;
+                for (i, c) in response.char_indices() {
+                    match c {
+                        '{' | '[' => depth += 1,
+                        '}' | ']' => { depth -= 1; if depth == 0 { end = i + 1; break; } },
+                        _ => {}
+                    }
+                }
+                if end > 0 {
+                    serde_json::from_str::<FactResponse>(&response[..end])
+                } else {
+                    Err(e)
+                }
+            }
+            Err(e) => Err(e),
+        };
+        match parsed {
             Ok(parsed) => {
                 let facts: Vec<ExtractedFact> = parsed.facts
                     .into_iter()
@@ -261,7 +319,7 @@ Respond in JSON:
                 Ok(facts)
             }
             Err(e) => {
-                tracing::warn!("Fact extraction JSON parse failed: {}, response: {}", e, &response[..response.len().min(200)]);
+                tracing::warn!("Fact extraction JSON parse failed: {}", e);
                 Ok(vec![])
             }
         }