List all 40 AgentForce concepts in this knowledge graph.

Find AgentForce concepts by keyword.

Args: query: Search term — e.g. 'resolution', 'trust', 'grounding', 'action', 'NIM'.

Traverse the AgentForce knowledge graph from any concept.

Returns prerequisites (what this concept needs) and dependents (what it enables). Every relationship traces to an authoritative Salesforce doc URL.

Args: concept: Concept name — e.g. 'Autonomous Resolution', 'Einstein Trust Layer', 'Service Agent', 'Grounding', 'NVIDIA NIM'. depth: Traversal depth 1–5 (default 3).

Return the full ordered prerequisite chain for an AgentForce concept.

Shows everything the concept depends on — the complete upstream path.

Args: concept: Target concept — e.g. 'Autonomous Resolution', 'Multi-LoRA Serving', 'Custom Actions', 'Semantic Retrieval'.

Trace the exact path that determines an AgentForce autonomous resolution event.

This is the $2/resolution billing path — what the agent must traverse correctly to resolve autonomously without human handoff.

Route an AgentForce question to the optimal model and reasoning approach via graph depth.

The CKG graph IS the router. AgentForce dependency chains (e.g. Einstein Trust Layer → Data Cloud → NVIDIA NIM → Resolution Criteria) have typed hops that signal reasoning complexity deterministically. No heuristic: the graph decides.

Routing table: hop_depth 1 → haiku · direct (simple concept lookup) hop_depth 2 → sonnet · generic_cot (moderate chain) hop_depth 3+ → opus · sparql_cot (deep dependency, structured reasoning)

Args: question: Concept name or natural language question about Salesforce AgentForce.

Returns: model_tier + reasoning_approach + why + context subgraph to inject before LLM call.

Return the source URL and content hash for an AgentForce concept node.

Audit chain: edge answer → graph commit → source_hash → source_url (fetch hint)

Verification: curl -s | sha256sum # compare output to source_hash

Args: concept: Concept label (partial match supported). receipt: If True, also return a signed BoundaryAttest receipt envelope (experimental-interop-v0.1) binding concept_label + source_url + source_hash + timestamp to this server's ed25519 session key.

Generate a signed BoundaryAttest receipt for the agentforce CKG benchmark result.

Produces a ckg.benchmark_result.exported claim signed with this server's Ed25519 session key. Any party holding the public key can verify the signature over the canonical JSON claim. Implements GuardrailDecisionV1 · experimental-interop-v0.1.

Result: F1 0.471 over 30 queries · ckg-benchmark v0.6.2 · 4× over RAG baseline (0.123).

Return a machine-readable JSON trust chain + ROI analysis + payment recommendation.

Designed for autonomous agent consumption. The agent reads the JSON, evaluates the ROI gate, selects the cheapest positive-ROI payment option, and purchases autonomously if budget is pre-authorized.

Trust chain closes the audit gap that RAG cannot: source_hashes → SHA-256 of source docs (what was known at extraction time) graph_hash → SHA-256 of the installed graph file (what is declared now) signer_key_id → Ed25519 public key fingerprint (who is attesting) benchmark_receipt → BoundaryAttest-signed F1 claim (cryptographic performance proof) scitt_status → SCITT ledger submission status (public audit anchor)

ROI gate: if total_value_per_call_usd > payment_option.price_per_call_usd → autonomous_pay = true.

Returns: JSON string (schema: ckg-trust-chain-v1).