fischer-agentkit

Commit Graph

Author	SHA1	Message	Date
chiguyong	a27eed3714	fix(config): unify config loading chain and protect ${VAR} references - Settings API: reverse-resolve env vars to preserve ${VAR} refs in yaml, write new API keys to .env instead of agentkit.yaml, extract env_key from existing ${VAR} reference when updating providers - Onboarding: merge-update instead of overwrite when config exists, use config_arg to determine output path, .env merge instead of overwrite - Unified templates: bailian-coding provider name, full model_aliases, docker-compose with postgres, expanded .env.example - Optional ruamel.yaml for comment/format preservation in Settings API - clients.yaml: add _deep_resolve for ${VAR} env var references - All CLI commands use load_config_with_dotenv() consistently - Tests: mock find_config_path and CWD auto-discovery to avoid env leaks	2026-06-16 00:26:54 +08:00
chiguyong	64d62a2b60	feat: autonomous task execution - connect PlanExecEngine + TeamOrchestrator U1: TeamOrchestrator._execute_phase real execution (Expert.agent.execute) U2: LLM-based merge strategies (BEST/VOTE/FUSION) with fallback U3: ReActStepExecutor replacing _LLMStepAgent for tool-enabled steps U4: SharedWorkspace integration for cross-phase/cross-execution state U5: GoalPlanner prompt tuning with few-shot and verb pattern matching U6: Replan-before-fallback in TeamOrchestrator U7: End-to-end validation tests for multi-step research tasks U8: WebSocket progress events (step_event_callback + new event types) Code review fixes: P0 response.strip fix, P1 competitor status check, milestone real impl, VOTE self-bias fix, confirmation_handler wiring, ExpertTeam public API, DRY _build_result_summaries, replan tests Also: geo_server.py refactor (ServerConfig.from_yaml), delete llm_config.yaml	2026-06-15 12:41:32 +08:00
chiguyong	669ca604e5	feat(configs): add GEO AgentKit Server configuration - llm_config.yaml: DeepSeek + OpenAI-compatible providers with env var substitution - skills/ (8 YAML): citation_detector, content_generator, deai_agent, geo_optimizer, monitor, schema_advisor, competitor_analyzer, trend_agent - Added intent fields for content_generator, competitor_analyzer, trend_agent - Added quality_gate fields for content_generator, deai_agent, geo_optimizer - Updated custom_handler paths to configs.geo_handlers - geo_tools.py: 14 FunctionTools calling GEO Backend via HTTP - geo_handlers.py: 3 custom handlers (citation/monitor/schema) calling /internal/ API - geo_server.py: FastAPI factory with LLM Gateway, Tool Registry, Skill Registry	2026-06-05 23:25:14 +08:00

Author

SHA1

Message

Date

chiguyong

a27eed3714

fix(config): unify config loading chain and protect ${VAR} references

- Settings API: reverse-resolve env vars to preserve ${VAR} refs in yaml,
  write new API keys to .env instead of agentkit.yaml, extract env_key
  from existing ${VAR} reference when updating providers
- Onboarding: merge-update instead of overwrite when config exists,
  use config_arg to determine output path, .env merge instead of overwrite
- Unified templates: bailian-coding provider name, full model_aliases,
  docker-compose with postgres, expanded .env.example
- Optional ruamel.yaml for comment/format preservation in Settings API
- clients.yaml: add _deep_resolve for ${VAR} env var references
- All CLI commands use load_config_with_dotenv() consistently
- Tests: mock find_config_path and CWD auto-discovery to avoid env leaks

2026-06-16 00:26:54 +08:00

chiguyong

64d62a2b60

feat: autonomous task execution - connect PlanExecEngine + TeamOrchestrator

U1: TeamOrchestrator._execute_phase real execution (Expert.agent.execute)
U2: LLM-based merge strategies (BEST/VOTE/FUSION) with fallback
U3: ReActStepExecutor replacing _LLMStepAgent for tool-enabled steps
U4: SharedWorkspace integration for cross-phase/cross-execution state
U5: GoalPlanner prompt tuning with few-shot and verb pattern matching
U6: Replan-before-fallback in TeamOrchestrator
U7: End-to-end validation tests for multi-step research tasks
U8: WebSocket progress events (step_event_callback + new event types)

Code review fixes: P0 response.strip fix, P1 competitor status check,
milestone real impl, VOTE self-bias fix, confirmation_handler wiring,
ExpertTeam public API, DRY _build_result_summaries, replan tests

Also: geo_server.py refactor (ServerConfig.from_yaml), delete llm_config.yaml

2026-06-15 12:41:32 +08:00

chiguyong

669ca604e5

feat(configs): add GEO AgentKit Server configuration

- llm_config.yaml: DeepSeek + OpenAI-compatible providers with env var substitution
- skills/ (8 YAML): citation_detector, content_generator, deai_agent, geo_optimizer,
  monitor, schema_advisor, competitor_analyzer, trend_agent
  - Added intent fields for content_generator, competitor_analyzer, trend_agent
  - Added quality_gate fields for content_generator, deai_agent, geo_optimizer
  - Updated custom_handler paths to configs.geo_handlers
- geo_tools.py: 14 FunctionTools calling GEO Backend via HTTP
- geo_handlers.py: 3 custom handlers (citation/monitor/schema) calling /internal/ API
- geo_server.py: FastAPI factory with LLM Gateway, Tool Registry, Skill Registry

2026-06-05 23:25:14 +08:00

3 Commits