io.github.thyn-ai/algenta

Tools

• apply_repository

  Apply a simulated repository decision as patch_only, local_branch, or remote_pr.

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• approve_agent_run

  Approve an Algenta agent run waiting on manual approval.

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• batch

  Run multiple simulation requests in one call and return per-item success or failure details.

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• browse_connector

  Browse one saved live connector to discover files, tables, endpoints, or items.

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• cancel_agent_run

  Cancel an Algenta agent run.

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• cancel_job

  Cancel a queued or running async simulation job by id.

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• chat_completions

  Run the deterministic Algenta utility chat surface. This is a tokenizer-backed utility route, not a provider-backed generative model.

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• compare

  Run named scenarios side by side and return the winner plus deltas versus the best scenario.

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• connect_data

  High-level data onboarding flow. Use this instead of advanced connector/source tools for normal users. Connect data once, pick the table/file/endpoint, and get a reusable dataset_id. If the result status is needs_selection, call connect_data again with connection_id and the chosen selection.

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• count_tokens

  Count tokens with a supported deterministic Algenta tokenizer model.

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• create_agent_run

  Create a persisted Algenta agent run lifecycle resource.

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• create_api_key

  Create a new API key and return its one-time raw_key value.

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• create_billing_checkout

  Create a Stripe Checkout session for the active organization.

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• create_billing_portal

  Create a Stripe Billing Portal session for the active organization.

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• create_capability_binding

  Create one capability binding for a provider/profile pair.

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• create_connector

  Create and save one connector configuration for later data onboarding, health checks, and schema browsing.

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• create_deployment

  Request a new isolated deployment for the active organization.

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• create_repository_decision_plan

  Create one immutable repository DecisionPlan revision from a workspace evidence bundle, resolving snapshot_id from triage when omitted.

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• create_repository_snapshot

  Create or reuse an immutable repository snapshot for a saved repository connector.

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• delete_connector

  Delete one saved connector by id.

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• delete_decision

  Delete one decision-memory record by id.

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• delete_deployment

  Request deprovisioning for one deployment by id.

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• delete_trigger

  Remove a trigger. The trigger will no longer fire automatically.

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• disable_skill

  Disable one skill binding by binding id.

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• disconnect_data

  Delete a saved dataset and disconnect it from future use.

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• discover_capability_binding

  Discover capabilities for a saved capability binding or preview-discover an unsaved one.

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• embedding_similarity

  Score two caller-supplied embedding vectors with a supported similarity model.

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• embeddings

  Generate deterministic lexical embeddings with the supported Algenta model.

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• enable_skill

  Enable one prompt-skill as a first-class capability binding.

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• execute_capability

  Execute one routed or known algenta_managed capability by capability id. client_managed routes must execute in the customer app or adapter path. If the capability requires approval (approval_required), this returns a pending plan (status='approval_required', plus plan_id/plan_hash/nonce) instead of executing -- approval is a separate, credentialed HTTP operation and is NOT available as a tool. Once a human has approved it out-of-band, call this tool again with plan_id set to actually run it.

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• execute_decision

  Dispatch a logged decision to an external webhook and persist the execution receipt.

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• execute_runtime_library

  Execute one local-runtime Mojo library function by module and function name. Pass args as either a JSON object, array, scalar, or null. This surface is local/runtime-backed only and does not route through hosted data/query APIs.

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• fire_trigger

  Manually fire a trigger — evaluates its condition and runs the simulation template regardless of whether the threshold is currently met. Useful for testing triggers or forcing an immediate evaluation.

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• get_agent_run

  Fetch a persisted Algenta agent run by run_id.

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• get_agent_run_checkpoints

  Fetch persisted checkpoints for an Algenta agent run.

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• get_agent_run_events

  Fetch the append-only event stream for an Algenta agent run.

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• get_agent_run_mission_events

  Fetch canonical mission-event records for an Algenta agent run.

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• get_agent_run_telemetry

  Fetch runtime telemetry batches for an Algenta agent run.

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• get_analytics

  Get usage analytics: simulation volume, latency p95, outcome distributions.

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• get_audit_log_artifacts

  Get paginated immutable audit-log artifacts for the current organization.

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• get_audit_logs

  Get paginated audit logs for the current organization.

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• get_billing_info

  Get current billing plan and subscription info for the active organization.

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• get_capability

  Get one unified capability by capability id.

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• get_connector

  Fetch one saved connector by id.

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• get_contract

  Get the machine-readable Algenta public contract. Use this when an agent needs the canonical discovery, summary, query, batch, SQL report, governed filter rules, CLI, or MCP entrypoints before planning tool use.

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• get_data_schema

  Get a saved dataset plus its schema and relationship metadata by dataset_id.

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• get_data_summary

  Get the low-token dataset selection summary for a saved dataset_id. Use this after list_data(search=..., compact=true) before paying for the full schema payload.

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• get_dataset_status

  Get live training status and model tier for a specific dataset. model_tier: 'none' = deterministic only, 'base' = generic model, 'schema' = fully trained schema-specific model (best quality).

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• get_decision

  Fetch one decision-memory record by id.

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• get_deployment

  Fetch the current deployment for the active organization, if one exists.

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• get_deployment_cost

  Get current-month cost details for one deployment by id.

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• get_execution_policy

  Get the current autonomous execution policy for the active organization.

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• get_job_result

  Fetch the completed result payload for an async simulation job by id.

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• get_job_status

  Fetch the latest async simulation job status by id.

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• get_limits

  Get current plan quotas and limits for the active API key.

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• get_me

  Get current user and organization identity for the active API key.

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• get_repository_intelligence_capabilities

  List globally supported Repository Intelligence languages and ranked support progress.

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• get_repository_snapshot

  Fetch one immutable repository snapshot by repository_id and snapshot_id.

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• get_run

  Fetch a single simulation run by ID.

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• get_runtime_benchmarks

  Get the authenticated Algenta runtime benchmark catalog. Use this when an agent needs benchmark classes, benchmark evidence paths, evaluation quality gates, SLO budgets, compiled artifacts, or module benchmark linkage before reasoning about runtime performance claims.

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• get_runtime_manifest

  Get the signed Algenta runtime manifest. Use this when an agent needs the canonical runtime-core inventory, maturity states, proof matrix, typed failure contract, or release theorem before using runtime-backed execution paths.

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• get_runtime_modules

  Get the authenticated Algenta runtime module proof catalog. Use this when an agent needs the shipping module inventory, proof-matrix entries, maturity counts, or compiled module evidence before using runtime-backed paths.

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• get_runtime_release_validation

  Get the authenticated Algenta runtime release validation result. Use this when an agent needs the current manifest-listed release verdict, formal theorem conditions, or fail-closed proof status before using runtime-backed paths.

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• get_source_schema

  Advanced tool. Get the full schema for a specific registered source: column types, cardinality, fill rates, formula relationships, and detected join keys to other sources.

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• get_usage

  Get current billing period usage vs quota for this API key.

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• ingest_data

  Auto-map tabular data to a simulation payload. Detects variable distributions, polarity (revenue=positive, cost=negative), units, and builds the objective function automatically. Set run_simulation=true to execute the simulation immediately and get results. Multiple tables: auto-detects join keys and merges before analysis.

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• ingest_metering_events

  Ingest an explicitly enabled managed-runtime analytics batch.

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• invite_team_member

  Invite a team member to the current organization.

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• list_agent_runs

  List persisted Algenta agent runs for the authenticated org.

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• list_api_keys

  List active API keys for the current organization. Never returns raw secret material.

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• list_capabilities

  List unified capabilities filtered by kind, provider, or binding.

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• list_capability_bindings

  List capability bindings for the current organization.

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• list_capability_providers

  List unified capability providers across data, MCP, skills, native tools, and runtime libraries.

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• list_connectors

  List saved data connectors such as databases, APIs, and file-backed sources. Use this before get_connector, test_connector, or browse_connector.

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• list_data

  List visible datasets for the current user. Use search plus compact mode first for low-token dataset discovery, then get_data_schema on the chosen dataset_id.

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• list_datasets

  List registered datasets and their current model tier. Use search plus compact mode for low-token discovery, then poll status or use the primary data tools once you choose a dataset.

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• list_decisions

  Retrieve the Decision Memory audit trail — all logged decisions, most recent first. Use with_outcome_only=true to see only decisions where actual results have been recorded. outcome_delta = actual_outcome - expected_value: negative means worse than predicted.

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• list_deployment_regions

  List available deployment providers and regions for the current organization.

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• list_devices

  List registered devices for the current organization.

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• list_distributions

  List supported distribution types for the active API key.

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• list_execution_policy_snapshots

  List persisted execution-policy snapshots for the active organization.

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• list_jobs

  List async simulation jobs with pagination and optional status filtering.

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• list_models

  List the current Algenta model catalog, including deterministic utility models and any provider-backed routed entries with their routing, failover, timeout, and auth metadata, including capability-specific chat and embedding auth/header readiness. Use this before calling tokenize, count_tokens, chat_completions, responses, embeddings, embedding_similarity, or rerank.

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• list_runs

  List recent simulation runs with optional filters.

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• list_runtime_libraries

  List executable local-runtime Mojo libraries. Use this when you need the runtime-backed compute catalog rather than the governed data/query tools. This surface is local/runtime-backed only.

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• list_skills

  List skill capabilities from the unified capability plane.

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• list_sources

  Advanced tool. List all registered data sources for this org with their schema summaries. Use this to discover available tables before calling query_data or register_source.

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• list_team_members

  List team members for the current organization.

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• list_templates

  List built-in simulation templates for the active API key.

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• list_triggers

  List all registered triggers with their current status, last-checked time, and last-fired simulation result summary.

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• log_decision

  Persist a decision to the Decision Memory audit trail. Link to a simulation run_id to bind the full DecisionPlan context. Call record_outcome later to close the feedback loop and measure prediction accuracy. Every logged decision is immutably hashed — no tampering possible.

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• onboard_dataset

  Register a dataset for semantic querying. Pass column names, inline records, or raw CSV. The engine profiles roles automatically and starts background training. Queries work immediately via a fallback model — accuracy improves once schema-specific training completes (poll status with list_datasets).

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• pause_trigger

  Pause or resume an existing trigger without deleting it.

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• plan_decision

  Build a structured Algenta DecisionPlan from a validated simulation-style request. Use this when the caller needs the plan summary without the full decision envelope.

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• poll_job

  Wait for an async simulation job to reach a terminal state. Returns the final result when the job completes, or the terminal status when it fails, is cancelled, or times out.

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• preview_browse_connector

  Browse one inline connector definition without saving it to discover files, tables, endpoints, or items.

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• preview_test_connector

  Run a real connectivity test for one inline connector definition without saving it.

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• product_agent_run

  Run the simple product task-execution helper and return a compact task result.

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• product_decision

  Run the simple product decision helper and return the chosen action plus risk summary.

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• product_forecast

  Run the simple product forecast helper over a historical metric series.

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• product_optimize

  Run the simple product optimization helper and return the best variable values.

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• product_retrieve

  Run the simple product retrieval helper over caller-supplied documents or a collection id.

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• query_agent_run_checkpoints

  Query persisted checkpoints across Algenta agent runs.

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• query_agent_run_mission_events

  Query canonical mission-event records across persisted Algenta agent runs.

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• query_agent_run_telemetry

  Query runtime telemetry batches across persisted Algenta agent runs.

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• query_batch

  Execute several governed exact queries in one API call. Use this for multi-metric prompts after choosing a dataset with list_data and get_data_summary. Each item reuses the same structured query contract as query_data; defaults may provide shared dataset_id, filter, limit, and order.

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• query_data

  Execute a structured query against connected data sources. Convert the user's question to a structured intent and call this tool — do NOT try to write SQL or parse column names yourself. The engine resolves column meaning from mathematical relationships and statistical structure only. It works on any dataset without configuration. The governed filter shape is a record-predicate contract over normalized rows, not a SQL predicate language, so it also applies to Redis and other non-SQL sources. Structural roles (use in metric.role): - derived_measure: the main financial/operational aggregate (revenue, spend, value) - base_measure: counts, quantities, discrete amounts - unit_measure: per-unit prices, rates - ratio: percentages, margins, fill rates (0-1 range) - metric: let the engine pick the best numeric column If clarification_required is true, or if confidence < 0.85, check the candidates list and ask the user to clarify. Never fabricate column names or SQL.

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• query_repository_graph

  Query one persisted repository snapshot for dependency, dependent, and change-risk graph edges.

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• query_sql_report

  Execute a constrained read-only SQL rowset query over authorized datasets. Use this only for wide reports that do not fit the governed exact-query surface. SQL must be a single SELECT/WITH statement over the provided dataset aliases.

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• recommend

  Compare multiple named actions/options and get a ranked recommendation. Use when you need to choose between two or more alternatives with uncertainty.

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• record_outcome

  Close the feedback loop: record what actually happened after a decision was made. Sets actual_outcome and computes outcome_delta = actual - expected. Over time this data measures prediction accuracy and reveals systematic biases.

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• refresh_credits

  Issue a compatibility credit batch for a quota-governed managed runtime.

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• refresh_data

  Refresh a saved dataset from its original database/API/object-store origin.

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• register_source

  Advanced tool. Register a data source and get full schema profiling + join detection. Profiles every column (type, cardinality, fill rate, distribution). Detects formula relationships (A×B≈C) within the source. Detects join keys to every already-registered source automatically. After registration the source is queryable by name via query_data. Safe to call multiple times — re-registration is a no-op if data is unchanged.

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• register_trigger

  Register a real-time trigger that watches a data source for a threshold condition. When the condition is met, the engine auto-runs the simulation template and optionally fires a webhook. Examples: 'alert me when monthly revenue drops below $80k', 'simulate expansion if Downtown revenue exceeds $200k'.

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• remove_team_member

  Remove one team member from the current organization by user id.

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• rerank

  Rerank caller-supplied document embeddings deterministically.

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• resolve_artifact_bridge

  Resolve a Hugging Face artifact path through the Algenta compatibility-ring artifact bridge. Defaults to cache-only lookup and never downloads unless local_files_only=false.

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• responses

  Run the unified Algenta utility response surface: deterministic tokenization/embeddings, or (for provider-backed chat models) a chat response with optional function/tool calling. `input` accepts a plain string, a list of independent strings (each processed as its own single-turn request), or a typed OpenResponses-style input array (items shaped {type: message|function_call|function_call_output, ...}) processed as ONE multi-turn conversation. `previous_response_id` continues a prior typed-array conversation -- state is held in the Algenta server process's memory only, so it does not survive a process restart or a different worker/replica.

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• resume_agent_run

  Resume a paused Algenta agent run.

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• retrain_dataset

  Re-trigger semantic training for a dataset. Use after schema changes, alias updates, or to force a fresh model build.

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• revoke_api_key

  Revoke one API key by id.

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• revoke_device

  Revoke one registered device by registration id for the current organization.

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• route_capabilities

  Route an objective to the best unified capability with fallbacks and an authoritative execution_owner.

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• run_repository_fix

  Run repository pipeline then apply the result, returning the canonical repository envelope.

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• run_repository_pipeline

  Run the repository snapshot->triage->plan->simulate chain and return the canonical repository envelope.

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• score

  Score a single simulation request with explicit weights and return the decision envelope plus score breakdown.

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• simulate

  Run a Monte Carlo simulation and get a structured decision recommendation. Use for: quantifying risk in a decision, comparing expected outcomes, getting probability-weighted recommendations.

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• simulate_repository

  Simulate repository patch risk and return the gated DecisionEnvelope, resolving snapshot_id from the decision plan when omitted.

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• simulate_repository_patch

  Simulate an in-flight repository patch and return the canonical repository envelope.

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• submit_job

  Submit a long-running async simulation job. Use for n_simulations > 500,000 or when you need a callback. Returns a job_id — poll with get_job_status.

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• test_capability_binding

  Test a saved capability binding or preview-test an unsaved one.

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• test_connector

  Run a real connectivity test for one saved connector and persist its live/error status.

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• test_webhook_delivery

  Send a test webhook payload to a callback URL and return the delivery result.

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• tokenize

  Tokenize UTF-8 text with a supported deterministic Algenta tokenizer model.

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• triage_repository

  Triage a repository snapshot into a bounded workspace evidence bundle with suspect files and symbols.

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• update_connector

  Update one saved connector name, description, visibility, or config.

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• update_execution_policy

  Update one or more execution-policy thresholds for the active organization.

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• update_me

  Update the current user name and or organization name for the active API key.

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• update_team_member_role

  Update one current organization team member role by user id.

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