Merge pull request 'hotfix for #83' (#85) from dev-0.9.x into main
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Build and Publish Docker Image (Semantic Cache) / build (amd64, linux/amd64, docker-amd64) (push) Successful in 3m35s
Build and Publish Docker Image / build (amd64, linux/amd64, docker-amd64) (push) Successful in 1m18s
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Reviewed-on: https://bitfreedom.net/code/code/nomyo-ai/nomyo-router/pulls/85
This commit is contained in:
commit
770de3b93f
8 changed files with 265 additions and 96 deletions
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@ -86,7 +86,7 @@ jobs:
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provenance: false
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provenance: false
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build-args: |
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build-args: |
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||||||
SEMANTIC_CACHE=true
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SEMANTIC_CACHE=true
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||||||
tags: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}:semantic-platform-${{ matrix.arch }}
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tags: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}:semantic-platform-${{ matrix.arch }}-${{ github.run_id }}
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merge:
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merge:
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runs-on: docker-amd64
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runs-on: docker-amd64
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@ -142,6 +142,6 @@ jobs:
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run: |
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run: |
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||||||
docker buildx imagetools create \
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docker buildx imagetools create \
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||||||
$(jq -cr '.tags | map("-t " + .) | join(" ")' <<< "$DOCKER_METADATA_OUTPUT_JSON") \
|
$(jq -cr '.tags | map("-t " + .) | join(" ")' <<< "$DOCKER_METADATA_OUTPUT_JSON") \
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||||||
${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}:semantic-platform-amd64 \
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${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}:semantic-platform-amd64-${{ github.run_id }} \
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||||||
${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}:semantic-platform-arm64
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${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}:semantic-platform-arm64-${{ github.run_id }}
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@ -77,7 +77,7 @@ jobs:
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platforms: ${{ matrix.platform }}
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platforms: ${{ matrix.platform }}
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push: true
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push: true
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provenance: false
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provenance: false
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tags: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}:platform-${{ matrix.arch }}
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tags: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}:platform-${{ matrix.arch }}-${{ github.run_id }}
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merge:
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merge:
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runs-on: docker-amd64
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runs-on: docker-amd64
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||||||
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|
@ -133,6 +133,6 @@ jobs:
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||||||
run: |
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run: |
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||||||
docker buildx imagetools create \
|
docker buildx imagetools create \
|
||||||
$(jq -cr '.tags | map("-t " + .) | join(" ")' <<< "$DOCKER_METADATA_OUTPUT_JSON") \
|
$(jq -cr '.tags | map("-t " + .) | join(" ")' <<< "$DOCKER_METADATA_OUTPUT_JSON") \
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||||||
${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}:platform-amd64 \
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${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}:platform-amd64-${{ github.run_id }} \
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${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}:platform-arm64
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${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}:platform-arm64-${{ github.run_id }}
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@ -206,6 +206,8 @@ The `/health` endpoint provides comprehensive health status:
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}
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}
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```
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```
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||||||
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||||||
|
For Ollama endpoints the probe is a parallel check of `/api/version` (liveness) and `/api/ps` (the route used by `choose_endpoint` when selecting a backend for a request). Reporting `ok` only when both succeed prevents the router from advertising an endpoint as healthy while completion calls dead-end on `/api/ps`. The same dual probe backs `/api/config`, which the dashboard uses to render endpoint health.
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## Database Schema
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## Database Schema
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The router uses SQLite for persistent storage:
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The router uses SQLite for persistent storage:
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@ -29,6 +29,10 @@ Response:
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- `200`: All endpoints healthy
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- `200`: All endpoints healthy
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- `503`: One or more endpoints unhealthy
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- `503`: One or more endpoints unhealthy
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**Probe scope per endpoint**:
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- **Ollama endpoints** are probed at both `/api/version` (liveness) and `/api/ps` (model-introspection used by the router). If either fails the endpoint is reported as `error`; the response still includes `version` when the daemon is reachable so operators can tell a partial failure from a full outage. The `detail` field names the failing probe, e.g. `"/api/ps: 502 …"`.
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- **OpenAI-compatible / llama-server endpoints** are probed at `/models`.
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### Current Usage
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### Current Usage
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|
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||||||
```bash
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```bash
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|
@ -133,6 +137,8 @@ Response:
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}
|
}
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```
|
```
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|
Uses the same dual-probe logic as `/health` (Ollama: `/api/version` + `/api/ps`; OpenAI-compatible: `/models`). An endpoint will report `error` whenever either probe fails. The dashboard renders the `detail` field as a tooltip on the status cell.
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|
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### Cache Statistics
|
### Cache Statistics
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||||||
|
|
||||||
```bash
|
```bash
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|
|
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||||||
195
router.py
195
router.py
|
|
@ -1000,7 +1000,7 @@ class fetch:
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async with client.get(f"{endpoint}/models") as resp:
|
async with client.get(f"{endpoint}/models") as resp:
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await _ensure_success(resp)
|
await _ensure_success(resp)
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data = await resp.json()
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data = await resp.json()
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|
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# Filter for loaded models only
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# Filter for loaded models only
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items = data.get("data", [])
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items = data.get("data", [])
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models = {
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models = {
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|
|
@ -1012,11 +1012,19 @@ class fetch:
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# Update cache with lock protection
|
# Update cache with lock protection
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async with _loaded_models_cache_lock:
|
async with _loaded_models_cache_lock:
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_loaded_models_cache[endpoint] = (models, time.time())
|
_loaded_models_cache[endpoint] = (models, time.time())
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|
# Probe succeeded — clear any stale error so the endpoint
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|
# becomes routable again.
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|
async with _loaded_error_cache_lock:
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|
_loaded_error_cache.pop(endpoint, None)
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return models
|
return models
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except Exception as e:
|
except Exception as e:
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# If anything goes wrong we simply assume the endpoint has no models
|
# If anything goes wrong we simply assume the endpoint has no models
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||||||
message = _format_connection_issue(f"{endpoint}/models", e)
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message = _format_connection_issue(f"{endpoint}/models", e)
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print(f"[fetch.loaded_models] {message}")
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print(f"[fetch.loaded_models] {message}")
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# Record the failure so `choose_endpoint` can avoid routing
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|
# to an unhealthy backend and repeated probes short-circuit.
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|
async with _loaded_error_cache_lock:
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|
_loaded_error_cache[endpoint] = time.time()
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return set()
|
return set()
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||||||
else:
|
else:
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||||||
# Original Ollama /api/ps logic
|
# Original Ollama /api/ps logic
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||||||
|
|
@ -1031,11 +1039,15 @@ class fetch:
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# Update cache with lock protection
|
# Update cache with lock protection
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||||||
async with _loaded_models_cache_lock:
|
async with _loaded_models_cache_lock:
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||||||
_loaded_models_cache[endpoint] = (models, time.time())
|
_loaded_models_cache[endpoint] = (models, time.time())
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||||||
|
async with _loaded_error_cache_lock:
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||||||
|
_loaded_error_cache.pop(endpoint, None)
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||||||
return models
|
return models
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||||||
except Exception as e:
|
except Exception as e:
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||||||
# If anything goes wrong we simply assume the endpoint has no models
|
# If anything goes wrong we simply assume the endpoint has no models
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||||||
message = _format_connection_issue(f"{endpoint}/api/ps", e)
|
message = _format_connection_issue(f"{endpoint}/api/ps", e)
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||||||
print(f"[fetch.loaded_models] {message}")
|
print(f"[fetch.loaded_models] {message}")
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||||||
|
async with _loaded_error_cache_lock:
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|
_loaded_error_cache[endpoint] = time.time()
|
||||||
return set()
|
return set()
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||||||
|
|
||||||
async def _refresh_loaded_models(endpoint: str) -> None:
|
async def _refresh_loaded_models(endpoint: str) -> None:
|
||||||
|
|
@ -1853,6 +1865,28 @@ async def choose_endpoint(model: str, reserve: bool = True,
|
||||||
load_tasks = [fetch.loaded_models(ep) for ep in candidate_endpoints]
|
load_tasks = [fetch.loaded_models(ep) for ep in candidate_endpoints]
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||||||
loaded_sets = await asyncio.gather(*load_tasks)
|
loaded_sets = await asyncio.gather(*load_tasks)
|
||||||
|
|
||||||
|
# 3️⃣.5 Exclude endpoints whose loaded-model probe has been failing
|
||||||
|
# recently. Without this filter, an endpoint where `/api/ps` returns 5xx
|
||||||
|
# would appear with an empty loaded set but pass through to the
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||||||
|
# free-slot fallback (step 4) — sending completion calls to an
|
||||||
|
# unhealthy backend. See issue #83.
|
||||||
|
async with _loaded_error_cache_lock:
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||||||
|
unhealthy = {
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||||||
|
ep for ep, ts in _loaded_error_cache.items()
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||||||
|
if _is_fresh(ts, 300)
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||||||
|
}
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||||||
|
if unhealthy:
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||||||
|
filtered = [
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||||||
|
(ep, models) for ep, models in zip(candidate_endpoints, loaded_sets)
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||||||
|
if ep not in unhealthy
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||||||
|
]
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||||||
|
if filtered:
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||||||
|
candidate_endpoints = [ep for ep, _ in filtered]
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|
loaded_sets = [models for _, models in filtered]
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||||||
|
# If *every* candidate is unhealthy we still fall through with the
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|
# original list — refusing to route is worse than retrying a
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||||||
|
# possibly-recovered backend.
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||||||
|
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||||||
# Look up a possible affinity hint *before* taking usage_lock. The two
|
# Look up a possible affinity hint *before* taking usage_lock. The two
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||||||
# locks are never held together to avoid lock-ordering issues.
|
# locks are never held together to avoid lock-ordering issues.
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||||||
affine_ep: Optional[str] = None
|
affine_ep: Optional[str] = None
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||||||
|
|
@ -3154,44 +3188,103 @@ async def usage_proxy(request: Request):
|
||||||
"token_usage_counts": token_usage_counts}
|
"token_usage_counts": token_usage_counts}
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||||||
|
|
||||||
# -------------------------------------------------------------
|
# -------------------------------------------------------------
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||||||
# 20. Proxy config route – for monitoring and frontent usage
|
# 20. Endpoint health probes (shared by /api/config and /health)
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||||||
|
# -------------------------------------------------------------
|
||||||
|
async def _raw_probe(
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||||||
|
ep: str,
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||||||
|
route: str,
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||||||
|
api_key: Optional[str] = None,
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||||||
|
timeout: Optional[float] = None,
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||||||
|
) -> tuple[bool, object]:
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||||||
|
"""Direct HTTP probe that distinguishes success from failure
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||||||
|
(unlike `fetch.endpoint_details`, which returns [] on either).
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||||||
|
Returns `(ok, payload_or_error_message)`.
|
||||||
|
"""
|
||||||
|
headers = {"Referer": default_headers.get("HTTP-Referer", "https://nomyo.ai")}
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||||||
|
if api_key is not None:
|
||||||
|
headers["Authorization"] = "Bearer " + api_key
|
||||||
|
url = f"{ep.rstrip('/')}/{route.lstrip('/')}"
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||||||
|
req_kwargs = {}
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||||||
|
if timeout is not None:
|
||||||
|
req_kwargs["timeout"] = aiohttp.ClientTimeout(total=timeout)
|
||||||
|
try:
|
||||||
|
client: aiohttp.ClientSession = get_session(ep)
|
||||||
|
async with client.get(url, headers=headers, **req_kwargs) as resp:
|
||||||
|
await _ensure_success(resp)
|
||||||
|
data = await resp.json()
|
||||||
|
return True, data
|
||||||
|
except Exception as exc:
|
||||||
|
return False, _format_connection_issue(url, exc)
|
||||||
|
|
||||||
|
|
||||||
|
async def _endpoint_health(ep: str, *, timeout: Optional[float] = None) -> dict:
|
||||||
|
"""Probe an endpoint and return `{status, version?, detail?}`.
|
||||||
|
|
||||||
|
Ollama endpoints get a dual probe of `/api/version` and `/api/ps` so
|
||||||
|
that a daemon which is reachable but has a broken model-introspection
|
||||||
|
path (issue #83) is reported as `error` rather than `ok`.
|
||||||
|
OpenAI-compatible endpoints use a single `/models` probe.
|
||||||
|
"""
|
||||||
|
if is_openai_compatible(ep):
|
||||||
|
ok, payload = await _raw_probe(
|
||||||
|
ep, "/models", config.api_keys.get(ep), timeout=timeout,
|
||||||
|
)
|
||||||
|
if ok:
|
||||||
|
return {"status": "ok", "version": "latest"}
|
||||||
|
return {"status": "error", "detail": str(payload)}
|
||||||
|
|
||||||
|
(version_ok, version_payload), (ps_ok, ps_payload) = await asyncio.gather(
|
||||||
|
_raw_probe(ep, "/api/version", timeout=timeout),
|
||||||
|
_raw_probe(ep, "/api/ps", timeout=timeout),
|
||||||
|
)
|
||||||
|
|
||||||
|
version_value = (
|
||||||
|
version_payload.get("version")
|
||||||
|
if version_ok and isinstance(version_payload, dict)
|
||||||
|
else None
|
||||||
|
)
|
||||||
|
|
||||||
|
if version_ok and ps_ok:
|
||||||
|
return {"status": "ok", "version": version_value}
|
||||||
|
if not version_ok and not ps_ok:
|
||||||
|
return {"status": "error", "detail": str(version_payload)}
|
||||||
|
# Partial failure — daemon reachable but one probe failed. Report
|
||||||
|
# as "error" so callers can surface the issue; include `version` so
|
||||||
|
# the operator knows the daemon itself is alive.
|
||||||
|
if not ps_ok:
|
||||||
|
return {
|
||||||
|
"status": "error",
|
||||||
|
"version": version_value,
|
||||||
|
"detail": f"/api/ps: {ps_payload}",
|
||||||
|
}
|
||||||
|
return {
|
||||||
|
"status": "error",
|
||||||
|
"detail": f"/api/version: {version_payload}",
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
|
# -------------------------------------------------------------
|
||||||
|
# 20b. Proxy config route – for monitoring and frontend usage
|
||||||
# -------------------------------------------------------------
|
# -------------------------------------------------------------
|
||||||
@app.get("/api/config")
|
@app.get("/api/config")
|
||||||
async def config_proxy(request: Request):
|
async def config_proxy(request: Request):
|
||||||
"""
|
"""
|
||||||
Return a simple JSON object that contains the configured
|
Return a simple JSON object that contains the configured
|
||||||
Ollama endpoints and llama_server_endpoints. The front‑end uses this to display
|
Ollama endpoints and llama_server_endpoints. The front‑end uses this
|
||||||
which endpoints are being proxied.
|
to display which endpoints are being proxied and their health.
|
||||||
|
Status is "error" when either liveness (/api/version) or routing
|
||||||
|
health (/api/ps) fails — see issue #83.
|
||||||
"""
|
"""
|
||||||
async def check_endpoint(url: str):
|
async def check(url: str) -> dict:
|
||||||
client: aiohttp.ClientSession = get_session(url)
|
return {"url": url, **(await _endpoint_health(url, timeout=5))}
|
||||||
headers = None
|
|
||||||
if "/v1" in url:
|
|
||||||
headers = {"Authorization": "Bearer " + config.api_keys.get(url, "no-key")}
|
|
||||||
target_url = f"{url}/models"
|
|
||||||
else:
|
|
||||||
target_url = f"{url}/api/version"
|
|
||||||
|
|
||||||
try:
|
ollama_results = await asyncio.gather(*[check(ep) for ep in config.endpoints])
|
||||||
async with client.get(target_url, headers=headers, timeout=aiohttp.ClientTimeout(total=5)) as resp:
|
|
||||||
await _ensure_success(resp)
|
|
||||||
data = await resp.json()
|
|
||||||
if "/v1" in url:
|
|
||||||
return {"url": url, "status": "ok", "version": "latest"}
|
|
||||||
else:
|
|
||||||
return {"url": url, "status": "ok", "version": data.get("version")}
|
|
||||||
except Exception as e:
|
|
||||||
detail = _format_connection_issue(target_url, e)
|
|
||||||
return {"url": url, "status": "error", "detail": detail}
|
|
||||||
|
|
||||||
# Check Ollama endpoints
|
|
||||||
ollama_results = await asyncio.gather(*[check_endpoint(ep) for ep in config.endpoints])
|
|
||||||
|
|
||||||
# Check llama-server endpoints
|
|
||||||
llama_results = []
|
llama_results = []
|
||||||
if config.llama_server_endpoints:
|
if config.llama_server_endpoints:
|
||||||
llama_results = await asyncio.gather(*[check_endpoint(ep) for ep in config.llama_server_endpoints])
|
llama_results = await asyncio.gather(
|
||||||
|
*[check(ep) for ep in config.llama_server_endpoints]
|
||||||
|
)
|
||||||
|
|
||||||
return {
|
return {
|
||||||
"endpoints": ollama_results,
|
"endpoints": ollama_results,
|
||||||
"llama_server_endpoints": llama_results,
|
"llama_server_endpoints": llama_results,
|
||||||
|
|
@ -4003,44 +4096,30 @@ async def health_proxy(request: Request):
|
||||||
"""
|
"""
|
||||||
Health‑check endpoint for monitoring the proxy.
|
Health‑check endpoint for monitoring the proxy.
|
||||||
|
|
||||||
* Queries each configured endpoint for its `/api/version` response.
|
* Queries each configured endpoint for both liveness and routing health:
|
||||||
|
Ollama endpoints are probed at `/api/version` AND `/api/ps`,
|
||||||
|
OpenAI-compatible endpoints at `/models`.
|
||||||
* Returns a JSON object containing:
|
* Returns a JSON object containing:
|
||||||
- `status`: "ok" if every endpoint replied, otherwise "error".
|
- `status`: "ok" if every endpoint replied to every probe, otherwise "error".
|
||||||
- `endpoints`: a mapping of endpoint URL → `{status, version|detail}`.
|
- `endpoints`: a mapping of endpoint URL → `{status, version|detail}`.
|
||||||
* The HTTP status code is 200 when everything is healthy, 503 otherwise.
|
* The HTTP status code is 200 when everything is healthy, 503 otherwise.
|
||||||
"""
|
"""
|
||||||
# Run all health checks in parallel.
|
# Run all health checks in parallel.
|
||||||
# Ollama endpoints expose /api/version; OpenAI-compatible endpoints (vLLM,
|
# Ollama endpoints expose /api/version (liveness) and /api/ps (routing
|
||||||
# llama-server, external) expose /models. Using /api/version against an
|
# health — required by `choose_endpoint`). OpenAI-compatible endpoints
|
||||||
# OpenAI-compatible endpoint yields a 404 and noisy log output.
|
# (vLLM, llama-server, external) expose /models, which serves both
|
||||||
|
# purposes. Probing /api/version alone would miss the case where the
|
||||||
|
# Ollama process is up but /api/ps is failing — see issue #83.
|
||||||
all_endpoints = list(config.endpoints)
|
all_endpoints = list(config.endpoints)
|
||||||
llama_eps_extra = [ep for ep in config.llama_server_endpoints if ep not in config.endpoints]
|
llama_eps_extra = [ep for ep in config.llama_server_endpoints if ep not in config.endpoints]
|
||||||
all_endpoints += llama_eps_extra
|
all_endpoints += llama_eps_extra
|
||||||
|
|
||||||
tasks = []
|
probe_results = await asyncio.gather(
|
||||||
for ep in all_endpoints:
|
*(_endpoint_health(ep) for ep in all_endpoints),
|
||||||
if is_openai_compatible(ep):
|
)
|
||||||
tasks.append(fetch.endpoint_details(ep, "/models", "data", config.api_keys.get(ep), skip_error_cache=True))
|
|
||||||
else:
|
|
||||||
tasks.append(fetch.endpoint_details(ep, "/api/version", "version", skip_error_cache=True))
|
|
||||||
|
|
||||||
results = await asyncio.gather(*tasks, return_exceptions=True)
|
health_summary = dict(zip(all_endpoints, probe_results))
|
||||||
|
overall_ok = all(entry.get("status") == "ok" for entry in probe_results)
|
||||||
health_summary = {}
|
|
||||||
overall_ok = True
|
|
||||||
|
|
||||||
for ep, result in zip(all_endpoints, results):
|
|
||||||
if isinstance(result, Exception):
|
|
||||||
# Endpoint did not respond / returned an error
|
|
||||||
health_summary[ep] = {"status": "error", "detail": str(result)}
|
|
||||||
overall_ok = False
|
|
||||||
else:
|
|
||||||
# Successful response – report the reported version (Ollama) or
|
|
||||||
# indicate the endpoint is reachable (OpenAI-compatible).
|
|
||||||
if is_openai_compatible(ep):
|
|
||||||
health_summary[ep] = {"status": "ok"}
|
|
||||||
else:
|
|
||||||
health_summary[ep] = {"status": "ok", "version": result}
|
|
||||||
|
|
||||||
response_payload = {
|
response_payload = {
|
||||||
"status": "ok" if overall_ok else "error",
|
"status": "ok" if overall_ok else "error",
|
||||||
|
|
|
||||||
|
|
@ -192,6 +192,10 @@
|
||||||
color: #8b0000;
|
color: #8b0000;
|
||||||
font-weight: bold;
|
font-weight: bold;
|
||||||
}
|
}
|
||||||
|
.status-error[title] {
|
||||||
|
cursor: help;
|
||||||
|
text-decoration: underline dotted;
|
||||||
|
}
|
||||||
.copy-link,
|
.copy-link,
|
||||||
.delete-link,
|
.delete-link,
|
||||||
.show-link,
|
.show-link,
|
||||||
|
|
@ -736,6 +740,16 @@ function renderTimeSeriesChart(timeSeriesData, chart, minutes) {
|
||||||
return await resp.json();
|
return await resp.json();
|
||||||
}
|
}
|
||||||
|
|
||||||
|
function escapeHtml(value) {
|
||||||
|
if (value === null || value === undefined) return "";
|
||||||
|
return String(value)
|
||||||
|
.replace(/&/g, "&")
|
||||||
|
.replace(/</g, "<")
|
||||||
|
.replace(/>/g, ">")
|
||||||
|
.replace(/"/g, """)
|
||||||
|
.replace(/'/g, "'");
|
||||||
|
}
|
||||||
|
|
||||||
function toggleDarkMode() {
|
function toggleDarkMode() {
|
||||||
document.documentElement.classList.toggle("dark-mode");
|
document.documentElement.classList.toggle("dark-mode");
|
||||||
}
|
}
|
||||||
|
|
@ -752,40 +766,24 @@ function renderTimeSeriesChart(timeSeriesData, chart, minutes) {
|
||||||
// Build HTML for both endpoints and llama_server_endpoints
|
// Build HTML for both endpoints and llama_server_endpoints
|
||||||
let html = "";
|
let html = "";
|
||||||
|
|
||||||
// Add Ollama endpoints
|
const renderRow = (e) => {
|
||||||
html += data.endpoints
|
const statusClass =
|
||||||
.map((e) => {
|
e.status === "ok" ? "status-ok" : "status-error";
|
||||||
const statusClass =
|
const version = e.version || "N/A";
|
||||||
e.status === "ok"
|
const titleAttr = e.detail
|
||||||
? "status-ok"
|
? ` title="${escapeHtml(e.detail)}"`
|
||||||
: "status-error";
|
: "";
|
||||||
const version = e.version || "N/A";
|
return `
|
||||||
return `
|
|
||||||
<tr>
|
<tr>
|
||||||
<td class="endpoint">${e.url}</td>
|
<td class="endpoint">${escapeHtml(e.url)}</td>
|
||||||
<td class="status ${statusClass}">${e.status}</td>
|
<td class="status ${statusClass}"${titleAttr}>${escapeHtml(e.status)}</td>
|
||||||
<td class="version">${version}</td>
|
<td class="version">${escapeHtml(version)}</td>
|
||||||
</tr>`;
|
</tr>`;
|
||||||
})
|
};
|
||||||
.join("");
|
|
||||||
|
html += data.endpoints.map(renderRow).join("");
|
||||||
// Add llama-server endpoints
|
|
||||||
if (data.llama_server_endpoints && data.llama_server_endpoints.length > 0) {
|
if (data.llama_server_endpoints && data.llama_server_endpoints.length > 0) {
|
||||||
html += data.llama_server_endpoints
|
html += data.llama_server_endpoints.map(renderRow).join("");
|
||||||
.map((e) => {
|
|
||||||
const statusClass =
|
|
||||||
e.status === "ok"
|
|
||||||
? "status-ok"
|
|
||||||
: "status-error";
|
|
||||||
const version = e.version || "N/A";
|
|
||||||
return `
|
|
||||||
<tr>
|
|
||||||
<td class="endpoint">${e.url}</td>
|
|
||||||
<td class="status ${statusClass}">${e.status}</td>
|
|
||||||
<td class="version">${version}</td>
|
|
||||||
</tr>`;
|
|
||||||
})
|
|
||||||
.join("");
|
|
||||||
}
|
}
|
||||||
|
|
||||||
body.innerHTML = html;
|
body.innerHTML = html;
|
||||||
|
|
|
||||||
|
|
@ -1,4 +1,5 @@
|
||||||
"""Tests for choose_endpoint routing logic with mocked fetch calls."""
|
"""Tests for choose_endpoint routing logic with mocked fetch calls."""
|
||||||
|
import time
|
||||||
from unittest.mock import AsyncMock, MagicMock, patch
|
from unittest.mock import AsyncMock, MagicMock, patch
|
||||||
|
|
||||||
import pytest
|
import pytest
|
||||||
|
|
@ -25,10 +26,12 @@ def _make_cfg(endpoints, llama_eps=None, max_conn=2, endpoint_config=None, prior
|
||||||
|
|
||||||
@pytest.fixture(autouse=True)
|
@pytest.fixture(autouse=True)
|
||||||
def reset_usage():
|
def reset_usage():
|
||||||
"""Clear usage_counts between tests to prevent bleed."""
|
"""Clear usage_counts and error caches between tests to prevent bleed."""
|
||||||
router.usage_counts.clear()
|
router.usage_counts.clear()
|
||||||
|
router._loaded_error_cache.clear()
|
||||||
yield
|
yield
|
||||||
router.usage_counts.clear()
|
router.usage_counts.clear()
|
||||||
|
router._loaded_error_cache.clear()
|
||||||
|
|
||||||
|
|
||||||
class TestChooseEndpointBasic:
|
class TestChooseEndpointBasic:
|
||||||
|
|
@ -102,6 +105,57 @@ class TestChooseEndpointBasic:
|
||||||
# Least-busy is EP2
|
# Least-busy is EP2
|
||||||
assert ep == EP2
|
assert ep == EP2
|
||||||
|
|
||||||
|
async def test_excludes_endpoint_with_recent_loaded_error(self):
|
||||||
|
# Regression: issue #83 — when /api/ps fails for EP1 but EP1
|
||||||
|
# still advertises the model via /api/tags, routing must not
|
||||||
|
# fall back to EP1 just because it has a free slot.
|
||||||
|
cfg = _make_cfg([EP1, EP2])
|
||||||
|
|
||||||
|
async def available(ep, *_):
|
||||||
|
return {"llama3.2:latest"}
|
||||||
|
|
||||||
|
# EP1's /api/ps probe failed recently; EP2 is fine but the model
|
||||||
|
# is not loaded there. Without the health filter, EP1 would be
|
||||||
|
# picked by the free-slot fallback (step 4 in choose_endpoint).
|
||||||
|
router._loaded_error_cache[EP1] = time.time()
|
||||||
|
|
||||||
|
with (
|
||||||
|
patch.object(router, "config", cfg),
|
||||||
|
patch.object(router.fetch, "available_models", side_effect=available),
|
||||||
|
patch.object(router.fetch, "loaded_models", AsyncMock(return_value=set())),
|
||||||
|
):
|
||||||
|
ep, _ = await router.choose_endpoint("llama3.2:latest")
|
||||||
|
assert ep == EP2
|
||||||
|
|
||||||
|
async def test_stale_loaded_error_does_not_exclude(self):
|
||||||
|
# Errors older than the 300s window must not keep an endpoint
|
||||||
|
# excluded forever.
|
||||||
|
cfg = _make_cfg([EP1])
|
||||||
|
router._loaded_error_cache[EP1] = time.time() - 301
|
||||||
|
|
||||||
|
with (
|
||||||
|
patch.object(router, "config", cfg),
|
||||||
|
patch.object(router.fetch, "available_models", AsyncMock(return_value={"m:latest"})),
|
||||||
|
patch.object(router.fetch, "loaded_models", AsyncMock(return_value={"m:latest"})),
|
||||||
|
):
|
||||||
|
ep, _ = await router.choose_endpoint("m:latest")
|
||||||
|
assert ep == EP1
|
||||||
|
|
||||||
|
async def test_all_unhealthy_still_routes(self):
|
||||||
|
# If every candidate has a fresh loaded-error we still try one
|
||||||
|
# (it may have recovered between the cache write and now) rather
|
||||||
|
# than refusing to route.
|
||||||
|
cfg = _make_cfg([EP1])
|
||||||
|
router._loaded_error_cache[EP1] = time.time()
|
||||||
|
|
||||||
|
with (
|
||||||
|
patch.object(router, "config", cfg),
|
||||||
|
patch.object(router.fetch, "available_models", AsyncMock(return_value={"m:latest"})),
|
||||||
|
patch.object(router.fetch, "loaded_models", AsyncMock(return_value=set())),
|
||||||
|
):
|
||||||
|
ep, _ = await router.choose_endpoint("m:latest")
|
||||||
|
assert ep == EP1
|
||||||
|
|
||||||
async def test_reserve_increments_usage(self):
|
async def test_reserve_increments_usage(self):
|
||||||
cfg = _make_cfg([EP1])
|
cfg = _make_cfg([EP1])
|
||||||
with (
|
with (
|
||||||
|
|
|
||||||
|
|
@ -178,3 +178,33 @@ class TestFetchLoadedModels:
|
||||||
first = await router.fetch.loaded_models(MOCK_OLLAMA_EP)
|
first = await router.fetch.loaded_models(MOCK_OLLAMA_EP)
|
||||||
second = await router.fetch.loaded_models(MOCK_OLLAMA_EP)
|
second = await router.fetch.loaded_models(MOCK_OLLAMA_EP)
|
||||||
assert first == second
|
assert first == second
|
||||||
|
|
||||||
|
async def test_records_error_in_loaded_error_cache_on_failure(self):
|
||||||
|
# Regression: issue #83 — /api/ps failures must be recorded so
|
||||||
|
# `choose_endpoint` can exclude unhealthy backends from routing.
|
||||||
|
cfg = _make_cfg(ollama_eps=[MOCK_OLLAMA_EP], llama_eps=[])
|
||||||
|
with patch.object(router, "config", cfg), aioresponses() as m:
|
||||||
|
m.get(f"{MOCK_OLLAMA_EP}/api/ps", status=502, payload={})
|
||||||
|
await router.fetch.loaded_models(MOCK_OLLAMA_EP)
|
||||||
|
assert MOCK_OLLAMA_EP in router._loaded_error_cache
|
||||||
|
|
||||||
|
async def test_records_error_for_llama_server_on_failure(self):
|
||||||
|
cfg = _make_cfg(ollama_eps=[], llama_eps=[MOCK_LLAMA_EP])
|
||||||
|
with patch.object(router, "config", cfg), aioresponses() as m:
|
||||||
|
m.get(f"{MOCK_LLAMA_EP}/models", status=502, payload={})
|
||||||
|
await router.fetch.loaded_models(MOCK_LLAMA_EP)
|
||||||
|
assert MOCK_LLAMA_EP in router._loaded_error_cache
|
||||||
|
|
||||||
|
async def test_clears_error_cache_on_subsequent_success(self):
|
||||||
|
cfg = _make_cfg(ollama_eps=[MOCK_OLLAMA_EP], llama_eps=[])
|
||||||
|
# Pre-seed an old error so loaded_models() falls through to the
|
||||||
|
# network probe instead of short-circuiting on the error cache.
|
||||||
|
async with router._loaded_error_cache_lock:
|
||||||
|
router._loaded_error_cache[MOCK_OLLAMA_EP] = time.time() - 301
|
||||||
|
with patch.object(router, "config", cfg), aioresponses() as m:
|
||||||
|
m.get(
|
||||||
|
f"{MOCK_OLLAMA_EP}/api/ps",
|
||||||
|
payload={"models": [{"name": "qwen:7b"}]},
|
||||||
|
)
|
||||||
|
await router.fetch.loaded_models(MOCK_OLLAMA_EP)
|
||||||
|
assert MOCK_OLLAMA_EP not in router._loaded_error_cache
|
||||||
|
|
|
||||||
Loading…
Add table
Add a link
Reference in a new issue