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Phase 003: remove the coding-agent and ekko-agent runtimes

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Every chat session now runs through the Hermes bridge, so the three chat
chains become feature-equivalent instead of three partially-maintained
dispatch paths. Keeping the coding-agent and in-house agent runtimes alive
meant every bridge change had to be mirrored into two more runtimes that
had already drifted.

Historical rows are read, not migrated: sessions stored with the retired
source normalize to cli on load, workflow graphs naming the retired agents
keep loading and run on the bridge, and the visible-source check plus
SOURCE_LABELS still recognize the old value so those sessions stay listed.

The public surface follows the code: the OpenAPI generator and the MCP
chat-run tool schema drop the six retired entry fields so external callers
are not told about runtimes that no longer exist.

harness-check gains a RETIRED_RUNTIME scan so the residual check is a
mechanical gate instead of a manual grep, with the two surviving read-side
compat sites recorded with reasons.

Refs: docs/phases/phase_003.md
This commit is contained in:
toor
2026-10-16 13:27:50 +08:00
parent c93e1fe1bd
commit 8c1ddf415f
123 changed files with 567 additions and 23599 deletions
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tests/server/usage-store-agent-stats-db.test.ts
+4 -4
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@@ -44,14 +44,14 @@ describe('usage store agent breakdown', () => {
cache_read_tokens, model, profile, created_at
) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)
`)
insert.run('new-claude', 'coding_agent', 'claude_code', 100, 10, 40, 'claude-model', 'default', now)
insert.run('new-codex', 'coding_agent', 'codex', 80, 20, 30, 'codex-model', 'default', now)
insert.run('session-workflow', 'workflow', 'workflow', 100, 10, 40, 'workflow-model', 'default', now)
insert.run('session-global', 'global_agent', 'global_agent', 80, 20, 30, 'global-model', 'default', now)
insert.run('hermes-1', 'hermes', 'hermes', 30, 3, 6, 'hermes-model', 'default', now)
const { getLocalUsageStats } = await import('../../packages/server/src/db/hermes/usage-store')
expect(getLocalUsageStats('default', 7).by_agent).toEqual([
{ agent: 'claude_code', input_tokens: 100, output_tokens: 10, cache_read_tokens: 40, cache_write_tokens: 0, reasoning_tokens: 0, sessions: 1 },
{ agent: 'codex', input_tokens: 80, output_tokens: 20, cache_read_tokens: 30, cache_write_tokens: 0, reasoning_tokens: 0, sessions: 1 },
{ agent: 'workflow', input_tokens: 100, output_tokens: 10, cache_read_tokens: 40, cache_write_tokens: 0, reasoning_tokens: 0, sessions: 1 },
{ agent: 'global_agent', input_tokens: 80, output_tokens: 20, cache_read_tokens: 30, cache_write_tokens: 0, reasoning_tokens: 0, sessions: 1 },
{ agent: 'hermes', input_tokens: 30, output_tokens: 3, cache_read_tokens: 6, cache_write_tokens: 0, reasoning_tokens: 0, sessions: 1 },
])
})