https://learn-ai.blindshot.kz/docs/openai/symphony/Recent content in OpenAI Symphony on AI Knowledge BaseHugoen-ushttps://learn-ai.blindshot.kz/docs/openai/symphony/overview/Mon, 01 Jan 0001 00:00:00 +0000https://learn-ai.blindshot.kz/docs/openai/symphony/overview/Symphony turns project work into isolated, autonomous implementation runs. It polls issue trackers, spawns coding agents per issue in isolated workspaces, and manages the full lifecycle from ticket to merged PR.https://learn-ai.blindshot.kz/docs/openai/symphony/spec/Mon, 01 Jan 0001 00:00:00 +0000https://learn-ai.blindshot.kz/docs/openai/symphony/spec/Complete technical specification for implementing Symphony: six architectural layers, orchestration state machine, workspace management, agent runner protocol, polling and scheduling, retry semantics, and observability.https://learn-ai.blindshot.kz/docs/openai/symphony/elixir-reference/Mon, 01 Jan 0001 00:00:00 +0000https://learn-ai.blindshot.kz/docs/openai/symphony/elixir-reference/Setup and usage guide for Symphony’s experimental Elixir/BEAM reference implementation, leveraging OTP supervision trees for fault-tolerant agent orchestration.https://learn-ai.blindshot.kz/docs/openai/symphony/workflow-configuration/Mon, 01 Jan 0001 00:00:00 +0000https://learn-ai.blindshot.kz/docs/openai/symphony/workflow-configuration/The WORKFLOW.md file format: YAML front matter configuring tracker integration, polling intervals, workspace hooks, and agent settings, followed by a markdown prompt template with issue-field substitution.https://learn-ai.blindshot.kz/docs/openai/symphony/orchestration-state-machine/Mon, 01 Jan 0001 00:00:00 +0000https://learn-ai.blindshot.kz/docs/openai/symphony/orchestration-state-machine/Symphony’s state machine for issue lifecycle: polling, dispatch, active run tracking, retry queuing with exponential backoff, and reconciliation of running issues against tracker state changes.