Jon Saad-FalconandClaude Opus 4.6 323d7ff032 Add TOML config system for eval suites, pillar-aligned config, and documentation ...

- Eval config: TOML-based suite configs defining models x benchmarks matrix,
  loaded via --config flag. Includes load_eval_config(), expand_suite(),
  7 config dataclasses, 3 example configs, and 61 new tests.
- Pillar-aligned config: generation params in IntelligenceConfig, nested
  engine/learning configs, agent objective/system_prompt/context_from_memory,
  structured learning sub-policies, TOML migration layer.
- Documentation: evaluations user guide, evals API reference, updated
  mkdocs.yml navigation, updated architecture docs.

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

2026-02-24 03:34:05 +00:00

..

agents

Add orchestrator training, channels, LiteLLM engine, and simplify learning taxonomy

2026-02-23 18:32:32 +00:00

bench

Implement OpenJarvis v1.0 — all five pillars, SDK, benchmarks, Docker

2026-02-17 00:52:48 +00:00

channels

Add orchestrator training, channels, LiteLLM engine, and simplify learning taxonomy

2026-02-23 18:32:32 +00:00

cli

Add TOML config system for eval suites, pillar-aligned config, and documentation

2026-02-24 03:34:05 +00:00

core

Add TOML config system for eval suites, pillar-aligned config, and documentation

2026-02-24 03:34:05 +00:00

engine

Add orchestrator training, channels, LiteLLM engine, and simplify learning taxonomy

2026-02-23 18:32:32 +00:00

hardware

Expand test suite to 1031 tests: new agents, tools, MCP layer, model catalog

2026-02-21 04:59:11 +00:00

intelligence

Add TOML config system for eval suites, pillar-aligned config, and documentation

2026-02-24 03:34:05 +00:00

learning

Add TOML config system for eval suites, pillar-aligned config, and documentation

2026-02-24 03:34:05 +00:00

mcp

Restructure codebase into 5-pillar architecture with MCP tool management, composition layer, and structured learning

2026-02-22 05:57:13 +00:00

memory

Restructure codebase into 5-pillar architecture with MCP tool management, composition layer, and structured learning

2026-02-22 05:57:13 +00:00

sdk

Implement OpenJarvis v1.0 — all five pillars, SDK, benchmarks, Docker

2026-02-17 00:52:48 +00:00

security

Add 30 tests for security/channels coverage gaps and 6 new docs pages

2026-02-22 03:31:19 +00:00

server

Add orchestrator training, channels, LiteLLM engine, and simplify learning taxonomy

2026-02-23 18:32:32 +00:00

telemetry

Restructure codebase into 5-pillar architecture with MCP tool management, composition layer, and structured learning

2026-02-22 05:57:13 +00:00

test_orchestrator_learning

Add orchestrator training, channels, LiteLLM engine, and simplify learning taxonomy

2026-02-23 18:32:32 +00:00

tools

Add orchestrator training, channels, LiteLLM engine, and simplify learning taxonomy

2026-02-23 18:32:32 +00:00

traces

Expand test suite to 1031 tests: new agents, tools, MCP layer, model catalog

2026-02-21 04:59:11 +00:00

__init__.py

Implement OpenJarvis v1.0 — all five pillars, SDK, benchmarks, Docker

2026-02-17 00:52:48 +00:00

conftest.py

Fix URL summarization, large text handling, and streaming pipeline bugs

2026-02-22 03:17:05 +00:00

test_docker.py

Implement OpenJarvis v1.0 — all five pillars, SDK, benchmarks, Docker

2026-02-17 00:52:48 +00:00

test_integration_extended.py

Restructure codebase into 5-pillar architecture with MCP tool management, composition layer, and structured learning

2026-02-22 05:57:13 +00:00

test_integration.py

Add TOML config system for eval suites, pillar-aligned config, and documentation

2026-02-24 03:34:05 +00:00

test_system.py

Restructure codebase into 5-pillar architecture with MCP tool management, composition layer, and structured learning

2026-02-22 05:57:13 +00:00