| name | copilot-sdk-e2e-dev |
| description | Spin up a live local Omnigent server and exercise the GitHub Copilot SDK harness end-to-end — build copilot agents, run real turns, smoke-test, and bug-bash. Load when developing, testing, or debugging the copilot harness (omnigent/inner/copilot_executor.py, copilot_harness.py, omnigent/onboarding/copilot_auth.py) or its auth / model / tool-bridge behavior. |
Copilot SDK harness: end-to-end dev & testing
The copilot harness drives the GitHub Copilot SDK (github-copilot-sdk,
imported as copilot) — a persistent CopilotClient + CopilotSession per
Omnigent conversation — and bridges Omnigent's sys_* tools into Copilot as SDK
Tools. The Python SDK bundles the Copilot CLI binary it drives as a backing
server, so there is no separate @github/copilot install. This skill is the
proven recipe for running it for real against a live local server — not just
the unit tests.
The harness runs as a local runner from your current checkout, so
omni run <bundle> --server <url> exercises exactly the code you're on.
Prerequisites (check these first)
- You're on the branch you want to test. The copilot harness is an
optional extra — install it (without disturbing other extras) with
uv sync --frozen --extra dev --extra copilot. NB: a bare
uv run --frozen --extra dev re-syncs the venv and prunes the copilot
SDK; for live testing call .venv/bin/omni / .venv/bin/python directly and
avoid uv run mid-session.
- The SDK is installed:
.venv/bin/python -c "import copilot; print(copilot.__file__)".
- A GitHub token with Copilot access is configured. Copilot needs a
fine-grained PAT with the "Copilot Requests" permission, or an OAuth token
from the GitHub CLI / Copilot CLI app (classic
ghp_ PATs are rejected).
Verify (booleans only — never print the token):
.venv/bin/python -c "from omnigent.onboarding.copilot_auth import copilot_github_token_configured; import os; print('config:', copilot_github_token_configured(), 'env:', bool(os.environ.get('GH_TOKEN') or os.environ.get('COPILOT_GITHUB_TOKEN')))"
If both are False, run omni setup and register a Copilot token, or
export GH_TOKEN=$(gh auth token) (when gh is logged into an account with
Copilot). Check the account's entitlement with
gh api /copilot_internal/user (look for chat_enabled/cli_enabled).
- Network egress to GitHub's Copilot backend. A turn that hangs or fails to
connect on a locked-down host is usually egress, not a harness bug.
Step 1 — start a local server
cd /path/to/omnigent
.venv/bin/omni server --port 7788 --no-open
curl -s http://127.0.0.1:7788/health
Use the URL below as $SERVER.
Step 2 — build a copilot agent bundle
A spec with spec_version must be a directory containing config.yaml —
not a single .yaml file. Minimal copilot agent:
mkdir -p /tmp/copilot-dev
cat > /tmp/copilot-dev/config.yaml <<'YAML'
spec_version: 1
name: copilot-dev
description: Copilot SDK dev/test agent.
executor:
type: omnigent
config:
harness: copilot
prompt: |
You are a terse test agent. Answer in as few words as possible.
YAML
For sub-agents, tools, guardrails/policies, copy the field shapes from
examples/polly/config.yaml and examples/debby/config.yaml. (Declare policies
under guardrails.policies: — a top-level policies: key is silently dropped on
the spec_version + config.yaml path.)
Step 3 — run a turn (and smoke-test)
SERVER=http://127.0.0.1:7788
timeout 280 .venv/bin/omni run /tmp/copilot-dev \
-p "Reply with exactly the single word: PONG" \
--server "$SERVER" 2>&1
A healthy run prints connection lines then the reply (PONG). If that works,
the full stack is good: token, egress, bundled CLI, harness.
- Shell / file tools: add
--tools coding.
- Specific model: add
--model gpt-5-mini (or claude-haiku-4.5, auto).
Targeted scenarios
| Goal | How |
|---|
| Native tools (shell/edit/read) | --tools coding, prompt to create→read→edit a file; confirm it actually touches disk |
Bridged sys_* / sub-agent dispatch | declare a sub-agent (harness copilot so auth is satisfied), prompt the parent to delegate — exercises the SDK Tool async-handler bridge into _tool_executor |
| Model routing | run the same bundle with several --model values; an unknown id fails loud, a databricks-* id is dropped to auto with a warning |
| LLM-phase policy | add a guardrail that denies a keyword; confirm PHASE_LLM_REQUEST/PHASE_LLM_RESPONSE blocks it |
| Concurrency / leaks | fire several omni run … & at once; then pgrep -af "copilot/bin/copilot" to check for orphaned bundled-CLI subprocesses |
Running polly (or any orchestrator) on a copilot brain
The copilot harness can serve as an async orchestrator brain (polly / debby),
not just a standalone agent — it dispatches to sub-agents via the bridged
sys_* tools and synthesizes their results. Two ways to exercise it:
1. Committed regression guard (brain smoke).
tests/e2e/test_polly_copilot_e2e.py boots a local server from your checkout and
runs examples/polly with --harness copilot --model auto, asserting the brain
boots and replies. It is skipped unless a Copilot token is configured (so CI
without one skips it). Run it with:
.venv/bin/python -m pytest -o addopts="" tests/e2e/test_polly_copilot_e2e.py -v
2. Full orchestration (dispatch → collect → synthesize). Use the
polly-e2e-dev driver (in the internal agent-framework clone) — it boots a
local server, polls the AP API, auto-answers elicitations, and asserts the
fan-out. Drive the brain on copilot with --brain-harness copilot, and always
pass a Copilot-catalog --brain-model (auto, claude-haiku-4.5,
gpt-5-mini): the driver's default --brain-model is a Claude id that Copilot
(no Databricks gateway) can't route. From the agent-framework clone:
.venv/bin/python .claude/skills/polly-e2e-dev/polly_driver.py \
--local --code-dir <this-worktree> \
--cuj smoke --brain-harness copilot --brain-model auto
All three CUJs (smoke / fanout / review-pr) pass on a copilot brain (verified
live: fanout dispatched 8 sub-agents, 8/8 OK + a synthesis). Note omni run -p
exits after the dispatch turn (the brain parks until woken), so a sub-agent's
final answer lands server-side — read it over the AP API
(GET /v1/sessions/{id}/items, child sessions), not just stdout.
Gotchas (these cost real time)
config.yaml's server: defaults to a remote server. Omitting
--server sends your turn to that remote deploy — which may be stale and
reject the copilot harness with executor.config.harness: must be one of […].
Always pass --server http://127.0.0.1:<port>. (If a local server
rejects copilot, it's running stale code — restart it from your checkout.)
- A spec with
spec_version must be a directory + config.yaml, never a
single .yaml file.
- Copilot needs a GitHub token (fine-grained PAT w/ Copilot Requests, or a
gh/Copilot-CLI OAuth token). Resolution precedence: spec
executor.auth
(api_key) > stored copilot: config block (omni setup) > ambient
COPILOT_GITHUB_TOKEN / GH_TOKEN / GITHUB_TOKEN. Classic ghp_ rejected.
- No Databricks gateway. Copilot talks only to GitHub's backend, so a
databricks-* model is silently resolved to Copilot's auto-select — it will
not route through the AI Gateway like claude-sdk/codex/pi.
- Use a model id from the account's catalog. free_limited offers
auto,
claude-haiku-4.5, gpt-5-mini. Run .venv/bin/python + client.list_models()
to discover the live set; an unknown id fails loud (server-side failed session).
- Turns take 30–90s — always wrap in
timeout 280.
- Never print/echo the GitHub token in logs or commands.
Code & tests
- Executor (SDK bridge):
omnigent/inner/copilot_executor.py
- Wrap (HARNESS_COPILOT_ env → executor):*
omnigent/inner/copilot_harness.py
- Auth / token resolution:
omnigent/onboarding/copilot_auth.py
- Spawn env:
_build_copilot_spawn_env in omnigent/runtime/workflow.py
uv run --frozen --extra dev python -m pytest \
tests/inner/test_copilot_executor.py \
tests/inner/test_copilot_harness.py \
tests/runtime/test_copilot_spawn_env.py \
tests/onboarding/test_copilot_auth.py -q
Bug-bash (fan out)
To stress the harness, run several scenario probes in parallel — each builds a
bundle and runs real turns against the same $SERVER, then reports what broke.
Highest-value targets: the Tool async-handler bridge (hangs / lost tool
results / errors reported as success), model routing, policy enforcement,
streamed-output rendering, and orphaned bundled-CLI processes after teardown.
Cross-check the AP API (GET /v1/sessions/{id}/items) — a start failure can exit
0 with empty stdout while the server records a failed session.
Known sharp edges (found via live bug-bash — "as of this writing")
- Native tools bypass
on:[tool_call] policies and aren't recorded. Copilot's
built-in create/view/edit/bash run inside the SDK, so an
on:[tool_call] DENY guardrail (e.g. blast_radius) never sees them, and they
leave no function_call item in the transcript (only streamed narration).
Bridged sys_* tools ARE gated and recorded. Gate Copilot's built-ins at
the LLM phase (PHASE_LLM_REQUEST/RESPONSE, which fire) or via the OS-env
sandbox — not on:[tool_call]. (Same shape as the cursor harness.)
- Copilot fails loud (unlike cursor's swallowed start failures). Bad token,
empty/invalid model, and unknown model ids all exit non-zero with a clear error
AND a server-side failed session + error item — verified, not swallowed.
omni run -p against an async orchestrator exits after the dispatch turn,
so a delegated sub-agent's final answer is persisted server-side but may not
reach stdout in one-shot mode. Read the session over the AP API to see it.
- Non-graceful exit can orphan the bundled CLI. Graceful teardown reaps it
(
client.stop()); after a SIGKILL/hard-exit, sweep
pgrep -af "copilot/bin/copilot".
Cleanup
.venv/bin/omni server stop
rm -rf /tmp/copilot-dev
pgrep -af "copilot/bin/copilot"