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update-1.6.2c
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This commit is contained in:
groot
2026-09-09 15:27:42 +02:00
parent f776b2322a
commit faa416ac89
20 changed files with 352 additions and 125 deletions
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.env.example
+6
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@@ -82,6 +82,10 @@ NEUROFORGE_WORKER_OLLAMA_API_KEY=
NEUROFORGE_OLLAMA_API_KEY=
OLLAMA_TIMEOUT=10m
OLLAMA_MAX_CONCURRENT=1
# Explicit chat context for Agent requests. Prevents a gateway/server default
# (often 4k on smaller VRAM profiles) from truncating structured JSON.
# gemma4 can use larger values such as 32768/65536/131072 when the runtime supports it.
OLLAMA_NUM_CTX=8192
OLLAMA_NUM_PREDICT=768
OLLAMA_JSON_RETRIES=1
OLLAMA_KEEP_ALIVE=10m
@@ -438,6 +442,8 @@ KNOWLEDGE_EMBEDDING_PROFILE=auto
# OLLAMA_MAX_CONCURRENT bleibt als Legacy-Alias für
# OLLAMA_NODE_MAX_INFLIGHT erhalten, falls der neue Wert nicht gesetzt ist.
# Explizite Kontextgröße für Agent-Chatrequests.
# OLLAMA_NUM_CTX=8192 # already configured in SHARED OLLAMA RUNTIME above
# Maximale Anzahl generierter Tokens für strukturierte Antworten.
# OLLAMA_NUM_PREDICT=768 # already configured in SHARED OLLAMA RUNTIME above
# Wiederholungen bei semantisch/strukturell fehlerhaftem Modell-JSON.
MANIFEST.sha256
+19 -19
View File
@@ -1,5 +1,5 @@
27dc46be5cbb1b171deff7fbd2f28bff1be802dff403797535fd8968bb98c8eb ./.cbmignore
6b603e52548748b2e9717e53543905bc323d25ce3e541643e6bb0d4f4bc8bbce ./.env.example
c2bd51b30547a9b7f947932335db762a581f9120f7d5076c0685c10a88bf1631 ./.env.example
813c6a53b389380997fc71835ef72d3b593e1808c4fcc16dc0c309608a389f40 ./.env.subagent.example
2d49d2ee955bf352cc7e76068ec842808c0bf7bffaacb6a129b641a78bbde0e5 ./.gitea/workflows/ci.yml
ed22fda7661db8203563611dc144998161cd024e161b0471d615eaf0defeb7db ./.gitea/workflows/release-tag-gitea.yml
@@ -44,7 +44,7 @@ d38f8433fb34c0d9b88b788cc95219c8b8ca96e6de93243c9a9eb8fc64946e40 ./deployments/
16f8e8224c0c46e5c79f35b322695046edb13e608d176cb0b9f25590f11b6b01 ./deployments/master/README.md
e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855 ./deployments/master/backups/.gitkeep
8127e9db5e5e0af1d88770dc8fa60b381de45dbcc843262698cf9501409b4d58 ./deployments/master/deploy/searxng/settings.yml
a7d49be8630c475230585db69ad977339d6b3e95c36379e75682f6ff124ab588 ./deployments/master/docker-compose.yml
21ad6610fa50cfb81ce0367ce79d5cdd69da88ac75f2c821f651e9c23a310a6b ./deployments/master/docker-compose.yml
e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855 ./deployments/master/knowledge/.gitkeep
6cd2e5bdf4c2a213f548e4f7a139faeeb56ff74f54e6da72e430fbd71342d64d ./deployments/master/monitoring/README.md
0c2fc23f8f6deced618e025cc66fa5711349439814d8a2c6d0f347990b4632e1 ./deployments/master/monitoring/grafana/dashboards/neuroforge-master-subagents.json
@@ -61,7 +61,7 @@ e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855 ./deployments/
5d2ca8625ccb84cb868c3f7450a0c63fc128967aab5677363dfeab8f214f92c3 ./docker-bake.hcl
58db2a87b703a5bbddc20b140907d187f8388e7db87b079ae9f6ffaac9c121fc ./docker-compose.dev.yml
1360e44c867fdb9b754fe4585d57a02daf0f4820a7602a4e588c94c45eeb28e8 ./docker-compose.subagent.yml
7883c941cbe0be323601661567168aebfd7ec2f441063c453cfce56fb7af1083 ./docker-compose.yml
9319836cf9d143d62ec320d440cb76561449c28d3397a68f3e25388a29d4fd82 ./docker-compose.yml
e4c516375e450c43b5193b1257880c02f2132b05a16e19ab1c96d57182fa070c ./docs/ARCHITECTURE.md
34e2c7ac5992389cc51b40f740c1e206f20bffc67bdf19cb59d94b5df67a7082 ./docs/BACKUP-RESTORE-v1.5.0.md
9467a3c0796a87bada0eab6ad191913e628b4abc05520cbb4b73fac76d334481 ./docs/CODEBASE-MEMORY-MCP.md
@@ -413,11 +413,11 @@ a2c56eb668137e058cb78bb592ac359ef7e608cb9bedc7eaa930b3f4f66411ca ./scripts/stat
2970d5f5049323b14a3f3983c2f4eb5392d745b4fea34742e3cf56e52d740f17 ./scripts/validate.sh
cc0fc4433db0964ed172a82f2910e55c0f3dd6d59b1ec04fe0541b8fe5a912bb ./scripts/verify-package.sh
17d7149607bf40ccc6f64a3c4cf3e4023a8325675918c18df0be309ea9731a36 ./services/agent/.dockerignore
4db4de9cac0f05961cfdc20b8c7e741cdb64d71432f4b5162fa005cf2c19a4d3 ./services/agent/.env.example
b21b8b6f8d48923c3b4a4e43a9431c1cf33f0e20b24d7d1fb81508f2741dc956 ./services/agent/.env.example
236713daf159ff0a8067e80a442ae3404fa28a5251ae6f24782f263bcfc17005 ./services/agent/.gitea/workflows/registry.yml
9ee46f2156ee805c4ff40e418b004ead5cfbc3a9b6df3968a1b772fe1b313cdc ./services/agent/.gitignore
e947cd34f7188f09581e5d04dd45ceed6fcef530d88ca4138cc4299cec08b43e ./services/agent/BETRIEBSANLEITUNG_GLPI_AI_AGENT.md
5343fe8bde3261ac5cb8e60759a43e7ea44ca647287d1fad7dfc350672f799ac ./services/agent/BETRIEBSANLEITUNG_GLPI_AI_AGENT_OLLAMA_POOL.md
7527d6ab43e02aae9779c92cc75e846ab908f0b93befda51e867cccee7fc9874 ./services/agent/BETRIEBSANLEITUNG_GLPI_AI_AGENT.md
5fca0fc1defb410011eb183875ed3a8aa9b1505fa17e9e3bf1e1bde387e3f7a8 ./services/agent/BETRIEBSANLEITUNG_GLPI_AI_AGENT_OLLAMA_POOL.md
81c91a44c5d3b7eca3051d8cee35f231ef283563da7a636c56c98b61da60218b ./services/agent/Dockerfile
2ec93f81187ebf92665a6a15a6672b2f7dfce23bfea1546f2d4188f49de5dce0 ./services/agent/EMERGENCY-HOTFIX-TICKETVERARBEITUNG.md
2bce6e10780004bc12042a416b8a05b417130db2d730d01a95d9d86a564e01cd ./services/agent/ESCALATION.md
@@ -432,15 +432,15 @@ c0e13c6703cf3feda57a9eaaa718e501280fbb526f466040eb685a27700b5797 ./services/age
0ed7ee0e4846be09994dd5f3b49ffdca6b59177b9018b1947388949f0dd49a14 ./services/agent/Makefile
80b20d2c2c78badc0dcc47e485e46bfd647877445c35faf261fb677ad58e8359 ./services/agent/OLLAMA-POOL.md
80b20d2c2c78badc0dcc47e485e46bfd647877445c35faf261fb677ad58e8359 ./services/agent/OLLAMA_POOL_BETRIEB.md
b0e1f907b26b31f3df4f9fae9ceaa59e468f3aa30487695fec89213912b685c8 ./services/agent/README.md
4cae0a453b46af7ab4afbc820a68be66a665e5d5806c10288d25519ece41d5ea ./services/agent/README.md
aeac85d1adc92a8b34ffa5a95f7f19c2c6fb94742a7359a7fd452529d59ad87b ./services/agent/SECURITY.md
ee0b752092cd437e215c05064560b455e844c4a190780afe70900b9a275a2c2b ./services/agent/UPGRADE.md
5f12f3841c224f7a1658ec34fcb93d7ae8d91030f80469ecba25bfeae0c91c61 ./services/agent/cmd/agent/main.go
ed0ad852e9024fdbf1a0a4c4efe7aa88546fd440b4e3edb6ff78df65e31c8d7a ./services/agent/UPGRADE.md
9dbbaeab222a8d7fb4db07ebc2026bd377d1299704fd00d8b2b195ff50a81e29 ./services/agent/cmd/agent/main.go
98be0fd63dd4fde52342c5385da113c926ac29195aedb657c0ca0f98e1593fff ./services/agent/compose_local.yml
e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855 ./services/agent/data/.gitkeep
b74f901cca99eae4bed1b168f1f077a28bf1134a71c867d263c7834f6d896684 ./services/agent/deploy/glpi-ai-agent.service
1457cb04cfd6bd05d45f7820f778c681c1a63cd2f8e7e500954c1b74c94a1b20 ./services/agent/docker-compose.registry.yml
cfc570de023b80f9a775d82a8ad5398521a4f377a85bb86642e60d0f22333d94 ./services/agent/docker-compose.yml
9eacaa9a7790d967064b424ad5135b809d461e6f882a34e4b8181dbbee195f68 ./services/agent/docker-compose.registry.yml
1f7494f1d244416a561d32a080c62bb98e032ccc0ca4734b5cc5a6213b7c798d ./services/agent/docker-compose.yml
a0105475dc054977223fac36618b8cd8137c55be1d11fddcd24e9a4d3074c170 ./services/agent/glpi-ai-agent-neural-brain.patch
8a7805be0da45875d45a5e5b26780fe659f671edd2d6b72c0d7da9606bf15755 ./services/agent/go.mod
beab3aa1f73f3b3f78f76ff43b60d2ea3d9c85353288b53e83b01bf3fd59db22 ./services/agent/internal/agent/agent.go
@@ -458,8 +458,8 @@ c4bf8fcb4ba6eb7962ec55cacff806a8a99561d134ab5238abd012763a2f9c74 ./services/age
6b70a29176602e499935a85ac8831dbe36bf75fddb130a56cda376e124ecb7db ./services/agent/internal/agent/status_reply.go
6f95bd3c85b42f1b2b098f05828c0b9e3dbb2e57f1f89b3dc4d1806453e0c4ce ./services/agent/internal/agent/status_reply_test.go
9057a742c3fe8e0fa76efd6dd9bcdf9fcdf7ab2c37ed823822808946e8649566 ./services/agent/internal/brainactivity/client.go
3ce010749e2d378249e2da9ebd0471673a6c558db9273940788ddcc096d7103d ./services/agent/internal/config/config.go
fa1717032ad536bff867a07d3fdf0ae2e0a9d5d7637a27b43274832d51322eb6 ./services/agent/internal/config/config_test.go
0e44d44bf34e52e195804e994cf0d841490a97120c1860418a9d28d116f1c4dd ./services/agent/internal/config/config.go
ccd0f7c51c9cafec3756252f24de1991bfbab7df36afd63e7efcd3ce1ed6c4eb ./services/agent/internal/config/config_test.go
6fe7335b0e66b60d5f6f27583b1ac11a0948719cfa657d51e77de0b337aab5d5 ./services/agent/internal/contextdata/collector.go
12e9eb6fd567b5d4173a63fa2b89be913b6d1c97e17b69048f46d119e88dce26 ./services/agent/internal/contextdata/collector_test.go
cffe6bc72ac01f0eb96599a40af43941c0719bd8cb698eddb4441fbf11703c7a ./services/agent/internal/glpi/client.go
@@ -476,14 +476,14 @@ d3a9909672ea420db87be29ce669f3cd973125ff15bb46ca90a54c3aa98d9e73 ./services/age
482ca79552b02a8a53bbd547318a04e01a0b41e64d4a347b00f850c0218febda ./services/agent/internal/learning/store.go
07505924d3a15046836e7e6d278d1583c6591268f2216c3be78c58e35eafc71a ./services/agent/internal/learning/store_test.go
5030ec3f51830f7decfb24c27f9b243cb64f97302a6a51df096bc957f24b3fae ./services/agent/internal/metrics/metrics.go
809c3f2833ed2093bf1f9e4466eb3d855f2a84d827cb21deb698dd0e7b63b403 ./services/agent/internal/model/model.go
0e3943a88b9ad154e498eab821be4751341892f89ef8ecce9be1d1948050c235 ./services/agent/internal/model/model.go
975d5846fa38bf2478fa3ab9696660740c8d9a0549ce8d4f3443d4ca917c4aba ./services/agent/internal/model/reason_codes.go
821850d649c7661f1665dc6be030ebeeacb60e4e007e1e84891d4b779b9a5d0d ./services/agent/internal/model/reason_codes_test.go
c89248224adf72720289215684b916eb209387c1d38b757d64804a8d3148011c ./services/agent/internal/obsidian/export.go
b75ffec53e9a94505ee57ecb9361bffbb6805cfd06ea05a7bf68b6b28b268c09 ./services/agent/internal/obsidian/export_test.go
73ab85693941c2af0ab6999a366e4d5baab629405233869699001123110bed32 ./services/agent/internal/ollama/client.go
32949d24dbfef098426ed1891d27860b295a8d7f312972020beb6976360705e3 ./services/agent/internal/ollama/client_test.go
0e4e98a3db5ad781a4f7022bd74bbc4b434e64187afee077daf9174165509ea6 ./services/agent/internal/ollama/pool.go
69f1c79dd4940685036a053080486eb89a1ba3256be41eac333d07a513897b19 ./services/agent/internal/ollama/client.go
69ede3809a6c26163340e786c121b443026f7649a0f911e314b68bde2bdaeb3b ./services/agent/internal/ollama/client_test.go
9e3e2b74c9462f7ea0016c8a8e3fc7d974181b653e702bd8d1bb8cb1facd2f84 ./services/agent/internal/ollama/pool.go
4da6a7f953bfce654dbd8ab2267d1d519057fb230773e37538ce81aa049f9751 ./services/agent/internal/ollama/pool_test.go
ab29c5808a06f6b21a0776355eeaa030f69be5eee251e7b1dbd7e00c71045c61 ./services/agent/internal/prioritysignals/signals.go
149bfefd67291ee288beed89a27235f58d3c33d87a1eff98cb2b7cc312fbd6b2 ./services/agent/internal/prioritysignals/signals_test.go
@@ -495,7 +495,7 @@ ab29c5808a06f6b21a0776355eeaa030f69be5eee251e7b1dbd7e00c71045c61 ./services/age
c849df7e346e1bd1e122037a4eafc30fe461add9b1876d7b9d63a02e33d831ad ./services/agent/internal/uptimekuma/client_test.go
5f0375f33c4c3f0804e58bb7b3a8699a450a05100274fbb19762d59f4d5d0034 ./services/agent/internal/web/control_graph.go
cb68a23bef549186d251766a3d3820b611defd55e8f7386b8b87490a78b9e11d ./services/agent/internal/web/control_graph_test.go
6b457a720d8c8c6b07b590ce827d5a51de611e50b6905ff9668ec8f3f4046fdc ./services/agent/internal/web/server.go
f2eeda7068f88fbe9b188a5fa5062f95f36c631a111fec8ece9a737bbe353665 ./services/agent/internal/web/server.go
1edf74892fa1da9f614fee8ec47e6b900132677167f2642a625effc028f2dfa0 ./services/agent/internal/web/server_test.go
21b32b0b863ed62ae352011d7dd85f0134bf9909c23ee80b1c7e3c3605ef8cc4 ./services/agent/internal/web/templates/category-mappings.html
158f91963bbcd39e19fedd6d8a3ced2b26ffc92a51f00a84d883f24557e03cb0 ./services/agent/internal/web/templates/dashboard.html
@@ -607,7 +607,7 @@ f1eab883370e0a40ef52a6b6d785a510d8ed48a19d25e0a2bc95f4f2cc8e329e ./services/age
895f8400aaad550ff2b96262eaa54e954d603129682e97aa4964539eb19bd7c2 ./services/agent/run.ps1
d1d4ab8145a7131c36df51d3a9fbdcdeb0cda3de134fe24c0e8d52370862f3b2 ./services/control/Dockerfile
f30ddf9251860d92717276483f7a2c2d7405f0516940ca62abc21d97ff3f3ad2 ./services/control/cmd/engineering-graph/main.go
5b2b6ec4790c89d07834c4e52bbde9a75d67f72dd0ec1b5b4ad033958043fac3 ./services/control/engineering-graph.json
71fbe3877b30bc8a1453318026d587c7edaf3b7d6d8bdf2210ce62a9fca9ef81 ./services/control/engineering-graph.json
ba44c599b9faf861eca647614c4abd18548e2708233cf462b11eb277e96449b8 ./services/control/go.mod
da37393e58ff53847f26b1051f6d3a5270571d290b33d79360bae0dcb3513829 ./services/control/graph.go
e6a8021a44219219fe37ab5edc45d1908fc6579f653aa80c9966810d891ad27d ./services/control/graph_test.go
deployments/master/docker-compose.yml
+1
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@@ -312,6 +312,7 @@ services:
OLLAMA_NODE_NAMES: ${OLLAMA_NODE_NAMES:-}
OLLAMA_NODE_REQUEST_TIMEOUT: ${OLLAMA_NODE_REQUEST_TIMEOUT:-}
OLLAMA_NODE_WEIGHTS: ${OLLAMA_NODE_WEIGHTS:-}
OLLAMA_NUM_CTX: ${OLLAMA_NUM_CTX:-}
OLLAMA_NUM_PREDICT: ${OLLAMA_NUM_PREDICT:-}
OLLAMA_REQUIRE_EMBEDDING_MODEL: ${OLLAMA_REQUIRE_EMBEDDING_MODEL:-}
OLLAMA_REQUIRE_SAME_MODEL_DIGEST: ${OLLAMA_REQUIRE_SAME_MODEL_DIGEST:-}
docker-compose.yml
+1
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@@ -374,6 +374,7 @@ services:
OLLAMA_NODE_NAMES: ${OLLAMA_NODE_NAMES:-}
OLLAMA_NODE_REQUEST_TIMEOUT: ${OLLAMA_NODE_REQUEST_TIMEOUT:-}
OLLAMA_NODE_WEIGHTS: ${OLLAMA_NODE_WEIGHTS:-}
OLLAMA_NUM_CTX: ${OLLAMA_NUM_CTX:-}
OLLAMA_NUM_PREDICT: ${OLLAMA_NUM_PREDICT:-}
OLLAMA_REQUIRE_EMBEDDING_MODEL: ${OLLAMA_REQUIRE_EMBEDDING_MODEL:-}
OLLAMA_REQUIRE_SAME_MODEL_DIGEST: ${OLLAMA_REQUIRE_SAME_MODEL_DIGEST:-}
services/agent/.env.example
+4
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@@ -303,6 +303,10 @@ KNOWLEDGE_EMBEDDING_PROFILE=auto
# OLLAMA_MAX_CONCURRENT bleibt als Legacy-Alias für
# OLLAMA_NODE_MAX_INFLIGHT erhalten, falls der neue Wert nicht gesetzt ist.
# Explizite Kontextgröße für strukturierte Agent-Chatrequests.
# Höhere Werte benötigen mehr Runtime-Speicher; 8192 verhindert insbesondere
# die 4k-Trunkierung bei umfangreichen Kategorieprompts.
OLLAMA_NUM_CTX=8192
# Maximale Anzahl generierter Tokens für strukturierte Antworten.
OLLAMA_NUM_PREDICT=768
# Wiederholungen bei semantisch/strukturell fehlerhaftem Modell-JSON.
services/agent/BETRIEBSANLEITUNG_GLPI_AI_AGENT.md
+1
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@@ -737,6 +737,7 @@ Für gemeinsam genutzte Knowledge-Verzeichnisse ist `unscoped` der kompatibelste
| `OLLAMA_REQUIRE_EMBEDDING_MODEL` | Agent | Verlangt das konfigurierte Embedding-Modell auf jedem Node. Bei false dürfen Chat-only-Nodes teilnehmen; Embedding-Requests werden weiterhin nur an Nodes mit Embeddingmodell gesendet. | true \| false | true | true | Bei `RAG_ENABLED=true` empfohlen. |
| `OLLAMA_EMBEDDING_MODEL` | Agent | OLLAMA_MODEL ist bereits oben im gemeinsamen Compose-/Ollama-Bereich gesetzt: OLLAMA_MODEL=qwen3:8b Embedding-Modell für RAG. | Freier Text beziehungsweise installationsspezifischer Wert. | embeddinggemma | embeddinggemma | Optional; Wirkung abhängig von aktivierten Funktionen. |
| `KNOWLEDGE_EMBEDDING_PROFILE` | Agent | Modellspezifisches Retrieval-Prompting. auto Modell automatisch erkennen und passende Retrieval-Prompts verwenden. Für embeddinggemma empfohlen. plain keine modellspezifischen Retrieval-Prompts. | auto \| plain \| embeddinggemma | auto | auto | Optional; Wirkung abhängig von aktivierten Funktionen. |
| `OLLAMA_NUM_CTX` | Agent | Explizite Kontextgröße für jeden `/api/chat`-Request; verhindert kleinere Ollama-/Gateway-Defaults, die strukturiertes JSON am Kontextende abschneiden können. | Ganzzahl 2048–1048576; für `gemma4` je nach Runtime auch 131072 möglich. | 8192 | 8192 | Höhere Werte erhöhen den Speicherbedarf der Modell-Runtime. |
| `OLLAMA_NUM_PREDICT` | Agent | OLLAMA_TIMEOUT und OLLAMA_MAX_CONCURRENT sind bereits oben gesetzt. Maximale Anzahl generierter Tokens für strukturierte Antworten. | Ganzzahl 1–4096. | 768 | 768 | Optional; Wirkung abhängig von aktivierten Funktionen. |
| `OLLAMA_JSON_RETRIES` | Agent | Wiederholungen bei fehlerhaftem / abgeschnittenem JSON. | Ganzzahl 0–3. | 1 | 1 | Optional; Wirkung abhängig von aktivierten Funktionen. |
| `OLLAMA_KEEP_ALIVE` | Agent | Ollama-Modell nach Benutzung im Speicher halten. 5m 10m 30m | Dauer >= 0; 0 ist zulässig. | 10m | 10m | Optional; Wirkung abhängig von aktivierten Funktionen. |
services/agent/BETRIEBSANLEITUNG_GLPI_AI_AGENT_OLLAMA_POOL.md
+1
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@@ -737,6 +737,7 @@ Für gemeinsam genutzte Knowledge-Verzeichnisse ist `unscoped` der kompatibelste
| `OLLAMA_REQUIRE_EMBEDDING_MODEL` | Agent | Verlangt das konfigurierte Embedding-Modell auf jedem Node. Bei false dürfen Chat-only-Nodes teilnehmen; Embedding-Requests werden weiterhin nur an Nodes mit Embeddingmodell gesendet. | true \| false | true | true | Bei `RAG_ENABLED=true` empfohlen. |
| `OLLAMA_EMBEDDING_MODEL` | Agent | OLLAMA_MODEL ist bereits oben im gemeinsamen Compose-/Ollama-Bereich gesetzt: OLLAMA_MODEL=qwen3:8b Embedding-Modell für RAG. | Freier Text beziehungsweise installationsspezifischer Wert. | embeddinggemma | embeddinggemma | Optional; Wirkung abhängig von aktivierten Funktionen. |
| `KNOWLEDGE_EMBEDDING_PROFILE` | Agent | Modellspezifisches Retrieval-Prompting. auto Modell automatisch erkennen und passende Retrieval-Prompts verwenden. Für embeddinggemma empfohlen. plain keine modellspezifischen Retrieval-Prompts. | auto \| plain \| embeddinggemma | auto | auto | Optional; Wirkung abhängig von aktivierten Funktionen. |
| `OLLAMA_NUM_CTX` | Agent | Explizite Kontextgröße für jeden `/api/chat`-Request; verhindert kleinere Ollama-/Gateway-Defaults, die strukturiertes JSON am Kontextende abschneiden können. | Ganzzahl 2048–1048576; für `gemma4` je nach Runtime auch 131072 möglich. | 8192 | 8192 | Höhere Werte erhöhen den Speicherbedarf der Modell-Runtime. |
| `OLLAMA_NUM_PREDICT` | Agent | OLLAMA_TIMEOUT und OLLAMA_MAX_CONCURRENT sind bereits oben gesetzt. Maximale Anzahl generierter Tokens für strukturierte Antworten. | Ganzzahl 1–4096. | 768 | 768 | Optional; Wirkung abhängig von aktivierten Funktionen. |
| `OLLAMA_JSON_RETRIES` | Agent | Wiederholungen bei fehlerhaftem / abgeschnittenem JSON. | Ganzzahl 0–3. | 1 | 1 | Optional; Wirkung abhängig von aktivierten Funktionen. |
| `OLLAMA_KEEP_ALIVE` | Agent | Ollama-Modell nach Benutzung im Speicher halten. 5m 10m 30m | Dauer >= 0; 0 ist zulässig. | 10m | 10m | Optional; Wirkung abhängig von aktivierten Funktionen. |
services/agent/README.md
+3 -1
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@@ -547,13 +547,14 @@ For local LLMs, the default request budget is intentionally longer than a typica
```env
OLLAMA_TIMEOUT=10m
OLLAMA_NUM_CTX=8192
OLLAMA_NUM_PREDICT=256
OLLAMA_KEEP_ALIVE=10m
OLLAMA_THINK=false
OLLAMA_MAX_CONCURRENT=1
```
`OLLAMA_NUM_PREDICT` limits the maximum generated tokens for the small structured decision. `OLLAMA_KEEP_ALIVE` asks Ollama to keep the analysis model loaded between tickets. `OLLAMA_THINK=false` disables optional model thinking for this deterministic classification task. `OLLAMA_NODE_MAX_INFLIGHT=1` serializes inference on each individual pool node. `OLLAMA_MAX_CONCURRENT` remains a backwards-compatible alias when the new per-node value is not set. On very slow CPU-only hosts, use a smaller local model and/or increase `OLLAMA_TIMEOUT`.
`OLLAMA_NUM_CTX` is sent explicitly with every `/api/chat` request so an Ollama server or compatible gateway cannot silently fall back to a smaller per-request context (for example 4k) and truncate structured JSON. Increase it only when the model/runtime has sufficient memory. `OLLAMA_NUM_PREDICT` limits the maximum generated tokens for the small structured decision. `OLLAMA_KEEP_ALIVE` asks Ollama to keep the analysis model loaded between tickets. `OLLAMA_THINK=false` disables optional model thinking for this deterministic classification task. `OLLAMA_NODE_MAX_INFLIGHT=1` serializes inference on each individual pool node. `OLLAMA_MAX_CONCURRENT` remains a backwards-compatible alias when the new per-node value is not set. On very slow CPU-only hosts, use a smaller local model and/or increase `OLLAMA_TIMEOUT`.
After upgrading an existing Compose deployment, recreate the stack so the init service runs:
@@ -591,6 +592,7 @@ Web-verwaltete Artikel landen **nicht** im statischen `KNOWLEDGE_DIR`, sondern u
Für stabilere Structured Outputs sind die empfohlenen Startwerte:
```env
OLLAMA_NUM_CTX=8192
OLLAMA_NUM_PREDICT=768
OLLAMA_JSON_RETRIES=1
```
services/agent/UPGRADE.md
+1
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@@ -148,6 +148,7 @@ Variable ausdrücklich auf `internal-category` gesetzt werden.
## Neue/empfohlene Variablen
```env
OLLAMA_NUM_CTX=8192
OLLAMA_NUM_PREDICT=768
OLLAMA_JSON_RETRIES=1
services/agent/cmd/agent/main.go
+2 -1
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@@ -72,8 +72,9 @@ func main() {
slog.Error("Ollama pool configuration failed", "error", err)
os.Exit(1)
}
o.SetNumCtx(cfg.OllamaNumCtx)
o.Start(ctx)
slog.Info("Ollama pool configured", "nodes", len(nodes), "routing", cfg.OllamaRoutingMode, "max_inflight_per_node", cfg.OllamaNodeMaxInflight, "failover", cfg.OllamaFailoverEnabled, "failover_attempts", cfg.OllamaFailoverAttempts, "require_same_digest", cfg.OllamaRequireSameDigest)
slog.Info("Ollama pool configured", "nodes", len(nodes), "routing", cfg.OllamaRoutingMode, "max_inflight_per_node", cfg.OllamaNodeMaxInflight, "failover", cfg.OllamaFailoverEnabled, "failover_attempts", cfg.OllamaFailoverAttempts, "require_same_digest", cfg.OllamaRequireSameDigest, "num_ctx", cfg.OllamaNumCtx)
if err := g.ValidateContract(ctx); err != nil {
slog.Error("GLPI API contract validation failed", "error", err)
os.Exit(1)
services/agent/docker-compose.registry.yml
+1
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@@ -10,6 +10,7 @@ services:
OLLAMA_URL: ${OLLAMA_URL:-http://ollama:11434}
OLLAMA_API_KEY: ${OLLAMA_API_KEY:-}
OLLAMA_TIMEOUT: ${OLLAMA_TIMEOUT:-10m}
OLLAMA_NUM_CTX: ${OLLAMA_NUM_CTX:-8192}
OLLAMA_NUM_PREDICT: ${OLLAMA_NUM_PREDICT:-768}
OLLAMA_JSON_RETRIES: ${OLLAMA_JSON_RETRIES:-1}
OLLAMA_KEEP_ALIVE: ${OLLAMA_KEEP_ALIVE:-10m}
services/agent/docker-compose.yml
+1
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@@ -27,6 +27,7 @@ services:
OLLAMA_API_KEY: ${OLLAMA_API_KEY:-}
# Local CPU inference can take several minutes on the first request.
OLLAMA_TIMEOUT: ${OLLAMA_TIMEOUT:-10m}
OLLAMA_NUM_CTX: ${OLLAMA_NUM_CTX:-8192}
OLLAMA_NUM_PREDICT: ${OLLAMA_NUM_PREDICT:-768}
OLLAMA_JSON_RETRIES: ${OLLAMA_JSON_RETRIES:-1}
OLLAMA_KEEP_ALIVE: ${OLLAMA_KEEP_ALIVE:-10m}
services/agent/internal/config/config.go
+5
View File
@@ -47,6 +47,7 @@ type Config struct {
OllamaEmbeddingModel string
OllamaTimeout time.Duration
OllamaNumPredict int
OllamaNumCtx int
OllamaKeepAlive time.Duration
OllamaThink bool
OllamaMaxConcurrent int // legacy alias for per-node concurrency
@@ -256,6 +257,7 @@ func Load() (Config, error) {
OllamaEmbeddingModel: env("OLLAMA_EMBEDDING_MODEL", "embeddinggemma"),
OllamaTimeout: envDuration("OLLAMA_TIMEOUT", 10*time.Minute),
OllamaNumPredict: envInt("OLLAMA_NUM_PREDICT", 768),
OllamaNumCtx: envInt("OLLAMA_NUM_CTX", 8192),
OllamaKeepAlive: envDuration("OLLAMA_KEEP_ALIVE", 10*time.Minute),
OllamaThink: envBool("OLLAMA_THINK", false),
OllamaMaxConcurrent: envInt("OLLAMA_MAX_CONCURRENT", 1),
@@ -499,6 +501,9 @@ func (c Config) Validate() error {
if c.OllamaNumPredict <= 0 || c.OllamaNumPredict > 4096 {
return errors.New("OLLAMA_NUM_PREDICT must be between 1 and 4096")
}
if c.OllamaNumCtx != 0 && (c.OllamaNumCtx < 2048 || c.OllamaNumCtx > 1048576) {
return errors.New("OLLAMA_NUM_CTX must be 0 or between 2048 and 1048576")
}
if c.OllamaKeepAlive < 0 {
return errors.New("OLLAMA_KEEP_ALIVE must be >= 0")
}
services/agent/internal/config/config_test.go
+13
View File
@@ -27,12 +27,25 @@ func validConfig() Config {
CommunicationStyle: "formal",
OllamaTimeout: time.Minute,
OllamaNumPredict: 256,
OllamaNumCtx: 8192,
OllamaKeepAlive: 10 * time.Minute,
OllamaThink: false,
OllamaMaxConcurrent: 1,
}
}
func TestValidateOllamaNumCtx(t *testing.T) {
c := validConfig()
c.OllamaNumCtx = 1024
if err := c.Validate(); err == nil {
t.Fatal("expected too-small OLLAMA_NUM_CTX to be rejected")
}
c.OllamaNumCtx = 131072
if err := c.Validate(); err != nil {
t.Fatalf("131072 context should validate: %v", err)
}
}
func TestValidateRejectsPlainHTTPByDefault(t *testing.T) {
c := validConfig()
c.GLPIURL = "http://glpi.internal.example"
services/agent/internal/model/model.go
+1
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@@ -380,6 +380,7 @@ type OllamaRequestAttempt struct {
PromptEvalDuration int64 `json:"prompt_eval_duration_ns,omitempty"`
EvalCount int64 `json:"eval_count,omitempty"`
EvalDuration int64 `json:"eval_duration_ns,omitempty"`
DoneReason string `json:"done_reason,omitempty"`
}
// OllamaProviderTrace summarizes the routing of one logical analysis.
services/agent/internal/ollama/client.go
+68 -14
View File
@@ -16,6 +16,7 @@ type Client struct {
model, embeddingModel string
language, communicationStyle string
numPredict int
numCtx int
jsonRetries int
keepAlive time.Duration
think bool
@@ -63,6 +64,20 @@ func (c *Client) Start(ctx context.Context) { c.pool.Start(ctx) }
func (c *Client) Ping(ctx context.Context) error { return c.pool.Ping(ctx) }
func (c *Client) NodeStatuses() []model.OllamaNodeStatus { return c.pool.NodeStatuses() }
func (c *Client) RoutingMode() string { return c.routingMode }
// SetNumCtx configures the context window sent explicitly with every chat
// request. Ollama/gateways may otherwise apply a smaller per-request default
// than the model itself supports, which can truncate structured JSON output.
// Call this during startup before the client begins serving requests.
func (c *Client) SetNumCtx(numCtx int) { c.numCtx = numCtx }
func (c *Client) chatOptions() map[string]any {
options := map[string]any{"temperature": 0, "num_predict": c.numPredict}
if c.numCtx > 0 {
options["num_ctx"] = c.numCtx
}
return options
}
func (c *Client) Embed(ctx context.Context, texts []string) ([][]float64, error) {
ctx = withStage(ctx, "embedding")
return c.embedAdaptive(ctx, texts, 0)
@@ -192,7 +207,7 @@ func (c *Client) AnalyseCategory(ctx context.Context, t model.Ticket, categories
"id": map[string]any{"type": "integer", "enum": categoryIDs},
"confidence": map[string]any{"type": "number", "minimum": 0, "maximum": 1},
}, "required": []string{"id", "confidence"}},
"reason": map[string]any{"type": "string"},
"reason": map[string]any{"type": "string", "maxLength": 320},
}, "required": []string{"category", "reason"}}
promptHits := append([]model.KnowledgeHit(nil), categoryHits...)
@@ -208,7 +223,7 @@ func (c *Client) AnalyseCategory(ctx context.Context, t model.Ticket, categories
user := fmt.Sprintf("Ticket ID: %d\nAktuelle Kategorie: %d\nBetreff: %s\nInhalt:\n%s\n\nErlaubte Kategorien:\n%s\n\nKategorisierungs-Wissenseintraege:\n%s\n\nRead-only Betriebs- und Asset-Kontext:\n%s", t.ID, t.CategoryID, t.Name, t.Content, string(categoryJSON), string(hitJSON), string(contextJSON))
payload := map[string]any{
"model": c.model, "stream": false, "format": schema, "keep_alive": c.keepAlive.String(), "think": c.think,
"options": map[string]any{"temperature": 0, "num_predict": c.numPredict},
"options": c.chatOptions(),
"messages": []map[string]string{{"role": "system", "content": system}, {"role": "user", "content": user}},
}
return c.executeDecision(ctx, payload, func(d model.Decision) error {
@@ -249,13 +264,20 @@ func (c *Client) AnalyseStatus(ctx context.Context, t model.Ticket, category mod
user := fmt.Sprintf("Ticket ID: %d\nBetreff: %s\nInhalt:\n%s\n\nEffektive Kategorie:\n%s\n\nAktive Uptime-Kuma-Kandidaten:\n%s", t.ID, t.Name, t.Content, string(categoryJSON), string(candidateJSON))
payload := map[string]any{
"model": c.model, "stream": false, "format": schema, "keep_alive": c.keepAlive.String(), "think": c.think,
"options": map[string]any{"temperature": 0, "num_predict": c.numPredict},
"options": c.chatOptions(),
"messages": []map[string]string{{"role": "system", "content": system}, {"role": "user", "content": user}},
}
var lastErr error
lastWasDecode := false
for attempt := 0; attempt <= c.jsonRetries; attempt++ {
if attempt > 0 {
payload["messages"] = append(payload["messages"].([]map[string]string), map[string]string{"role": "user", "content": "Die vorherige Ausgabe war ungültig. Wiederhole nur die strukturierte Zuordnung als gültiges JSON."})
if lastWasDecode {
options := c.chatOptions()
options["temperature"] = 0.05
payload["options"] = options
} else {
payload["messages"] = append(payload["messages"].([]map[string]string), map[string]string{"role": "user", "content": "Die vorherige strukturierte Zuordnung war semantisch ungültig. Korrigiere sie gemäß Schema."})
}
}
var resp struct {
Message struct {
@@ -268,8 +290,10 @@ func (c *Client) AnalyseStatus(ctx context.Context, t model.Ticket, category mod
var d model.StatusDecision
if err := json.Unmarshal([]byte(resp.Message.Content), &d); err != nil {
lastErr = fmt.Errorf("invalid Ollama status response: %w", err)
lastWasDecode = true
continue
}
lastWasDecode = false
if !d.Matched {
d.CandidateID = ""
return d, nil
@@ -324,7 +348,7 @@ func (c *Client) AnalyseReply(ctx context.Context, t model.Ticket, category mode
user := fmt.Sprintf("Ticket ID: %d\nBetreff: %s\nInhalt:\n%s\n\nEffektive Kategorie fuer die Antwortauswahl:\n%s\n\nErlaubte Antwort-Wissenseintraege:\n%s\n\nRead-only Betriebs- und Asset-Kontext:\n%s", t.ID, t.Name, t.Content, string(categoryJSON), string(hitJSON), string(contextJSON))
payload := map[string]any{
"model": c.model, "stream": false, "format": schema, "keep_alive": c.keepAlive.String(), "think": c.think,
"options": map[string]any{"temperature": 0, "num_predict": c.numPredict},
"options": c.chatOptions(),
"messages": []map[string]string{{"role": "system", "content": system}, {"role": "user", "content": user}},
}
d, err := c.executeDecision(ctx, payload, func(d model.Decision) error {
@@ -348,9 +372,19 @@ func (c *Client) AnalyseReply(ctx context.Context, t model.Ticket, category mode
func (c *Client) executeDecision(ctx context.Context, payload map[string]any, validate func(model.Decision) error) (model.Decision, error) {
var lastErr error
lastWasDecode := false
for attempt := 0; attempt <= c.jsonRetries; attempt++ {
if attempt > 0 {
payload["messages"] = append(payload["messages"].([]map[string]string), map[string]string{"role": "user", "content": "Die vorherige Ausgabe war unvollstaendig oder ungueltig. Wiederhole die Entscheidung vollstaendig und gib ausschliesslich ein gueltiges JSON-Objekt gemaess Schema zurueck."})
if lastWasDecode {
// Keep parse-error retries at the same prompt size. Appending an
// instruction can consume the remaining output budget when an upstream
// Ollama gateway is running with a small context window.
options := c.chatOptions()
options["temperature"] = 0.05
payload["options"] = options
} else {
payload["messages"] = append(payload["messages"].([]map[string]string), map[string]string{"role": "user", "content": "Die vorherige JSON-Entscheidung war semantisch ungültig. Korrigiere sie vollständig gemäß Schema."})
}
}
var resp struct {
Message struct {
@@ -363,8 +397,10 @@ func (c *Client) executeDecision(ctx context.Context, payload map[string]any, va
var d model.Decision
if err := json.Unmarshal([]byte(resp.Message.Content), &d); err != nil {
lastErr = fmt.Errorf("invalid Ollama structured response: %w", err)
lastWasDecode = true
continue
}
lastWasDecode = false
if validate != nil {
if err := validate(d); err != nil {
lastErr = err
@@ -423,13 +459,20 @@ func (c *Client) Analyse(ctx context.Context, t model.Ticket, categories []model
"format": schema,
"keep_alive": c.keepAlive.String(),
"think": c.think,
"options": map[string]any{"temperature": 0, "num_predict": c.numPredict},
"options": c.chatOptions(),
"messages": []map[string]string{{"role": "system", "content": system}, {"role": "user", "content": user}},
}
var lastErr error
lastWasDecode := false
for attempt := 0; attempt <= c.jsonRetries; attempt++ {
if attempt > 0 {
payload["messages"] = append(payload["messages"].([]map[string]string), map[string]string{"role": "user", "content": "Die vorherige Ausgabe war unvollstaendig oder kein gueltiges JSON. Wiederhole die Entscheidung jetzt vollstaendig und gib ausschliesslich ein gueltiges JSON-Objekt gemaess Schema zurueck."})
if lastWasDecode {
options := c.chatOptions()
options["temperature"] = 0.05
payload["options"] = options
} else {
payload["messages"] = append(payload["messages"].([]map[string]string), map[string]string{"role": "user", "content": "Die vorherige JSON-Entscheidung war semantisch ungültig. Korrigiere sie vollständig gemäß Schema."})
}
}
var resp struct {
Message struct {
@@ -442,8 +485,10 @@ func (c *Client) Analyse(ctx context.Context, t model.Ticket, categories []model
var d model.Decision
if err := json.Unmarshal([]byte(resp.Message.Content), &d); err != nil {
lastErr = fmt.Errorf("invalid Ollama structured response: %w", err)
lastWasDecode = true
continue
}
lastWasDecode = false
if len(knownKnowledge) == 0 {
// A reply is structurally impossible without an explicitly supplied
// Knowledge candidate. Ignore any contradictory model output instead
@@ -500,7 +545,7 @@ Die deterministisch extrahierten Belege sind keine fertige Prioritätsentscheidu
Verwende insufficient_information nur, wenn weder Auswirkung noch Dringlichkeit aus Ticket, Kategorie, Kontext oder den deterministischen Belegen belastbar eingeordnet werden können. Wenn ein expliziter Mehrbenutzer-, Standort-, Organisations-, Workaround- oder Kein-Workaround-Beleg vorhanden ist, darf insufficient_information nicht verwendet werden. Bei unzureichenden Angaben verwende genau einmal insufficient_information, empfehle die aktuelle Priorität unverändert und nenne keine weiteren reason_codes. Verwende höchstens drei unterschiedliche reason_codes. Das Feld reason muss eine kurze, verständliche Begründung in ganzen Sätzen sein und darf nicht nur aus einem reason_code bestehen. Die interne Begründung ist in %s und im Stil %s. Gib ausschließlich das geforderte JSON zurück.`, c.language, c.communicationStyle)
user := fmt.Sprintf("Ticket ID: %d\nBetreff: %s\nInhalt:\n%s\n\nAktuelle Werte: priority=%d impact=%d urgency=%d status=%d\nEffektive Kategorie:\n%s\n\nDeterministisch extrahierte Belege:\n%s\n\nRead-only Kontext:\n%s", t.ID, t.Name, t.Content, t.Priority, t.Impact, t.Urgency, t.StatusID, string(categoryJSON), string(evidenceJSON), string(contextJSON))
payload := map[string]any{"model": c.model, "stream": false, "format": schema, "keep_alive": c.keepAlive.String(), "think": c.think, "options": map[string]any{"temperature": 0, "num_predict": c.numPredict}, "messages": []map[string]string{{"role": "system", "content": system}, {"role": "user", "content": user}}}
payload := map[string]any{"model": c.model, "stream": false, "format": schema, "keep_alive": c.keepAlive.String(), "think": c.think, "options": c.chatOptions(), "messages": []map[string]string{{"role": "system", "content": system}, {"role": "user", "content": user}}}
var out model.PriorityDecision
err := c.executeStructured(ctx, payload, &out, func() error {
out.ReasonCodes = model.NormalizeReasonCodes(out.ReasonCodes)
@@ -541,7 +586,7 @@ Verwende die deterministischen Belege als Tatsachen: no_human_response, unassign
Verwende ausschließlich die bereitgestellten reason_codes und Aktionen. Erfinde keine SLA, Frist, Zuständigkeit, Ziel-ID oder Sicherheitslage. Die interne Begründung ist in %s und im Stil %s. Gib ausschließlich das geforderte JSON zurück.`, c.language, c.communicationStyle)
user := fmt.Sprintf("Ticket ID: %d\nErstellt: %s\nGeändert: %s\nSLA-Ziel: %s\nStatus: %d\nPriorität: %d\nZugewiesene Gruppen: %v\nZugewiesene Benutzer: %v\nBetreff: %s\nInhalt:\n%s\n\nDeterministische Belege:\n%s\n\nEskalations-Constraints:\n%s\n\nFollowups:\n%s\n\nRead-only Kontext:\n%s", t.ID, t.DateCreation, t.DateMod, t.TimeToResolve, t.StatusID, t.Priority, t.AssignedGroups, t.AssignedUsers, t.Name, t.Content, string(evidenceJSON), string(constraintsJSON), string(followupJSON), string(contextJSON))
payload := map[string]any{"model": c.model, "stream": false, "format": schema, "keep_alive": c.keepAlive.String(), "think": c.think, "options": map[string]any{"temperature": 0, "num_predict": c.numPredict}, "messages": []map[string]string{{"role": "system", "content": system}, {"role": "user", "content": user}}}
payload := map[string]any{"model": c.model, "stream": false, "format": schema, "keep_alive": c.keepAlive.String(), "think": c.think, "options": c.chatOptions(), "messages": []map[string]string{{"role": "system", "content": system}, {"role": "user", "content": user}}}
var out model.EscalationDecision
err := c.executeStructured(ctx, payload, &out, func() error {
out.ReasonCodes = model.NormalizeReasonCodes(out.ReasonCodes)
@@ -626,13 +671,20 @@ func normalizeEscalationModelActions(values []string) []string {
func (c *Client) executeStructured(ctx context.Context, payload map[string]any, out any, validate func() error) error {
var lastErr error
lastWasDecode := false
for attempt := 0; attempt <= c.jsonRetries; attempt++ {
if attempt > 0 {
msg := "Die vorherige Ausgabe war ungültig. Wiederhole ausschließlich das vollständige JSON gemäß Schema."
if lastErr != nil {
msg += " Validierungsfehler: " + lastErr.Error()
if lastWasDecode {
options := c.chatOptions()
options["temperature"] = 0.05
payload["options"] = options
} else {
msg := "Die vorherige JSON-Ausgabe war semantisch ungültig. Korrigiere sie vollständig gemäß Schema."
if lastErr != nil {
msg += " Validierungsfehler: " + lastErr.Error()
}
payload["messages"] = append(payload["messages"].([]map[string]string), map[string]string{"role": "user", "content": msg})
}
payload["messages"] = append(payload["messages"].([]map[string]string), map[string]string{"role": "user", "content": msg})
}
var resp struct {
Message struct {
@@ -644,8 +696,10 @@ func (c *Client) executeStructured(ctx context.Context, payload map[string]any,
}
if err := json.Unmarshal([]byte(resp.Message.Content), out); err != nil {
lastErr = fmt.Errorf("invalid Ollama structured response: %w", err)
lastWasDecode = true
continue
}
lastWasDecode = false
if validate != nil {
if err := validate(); err != nil {
lastErr = err
services/agent/internal/ollama/client_test.go
+49
View File
@@ -31,6 +31,9 @@ func TestAnalyseStructured(t *testing.T) {
if options["num_predict"] != float64(256) {
t.Errorf("unexpected num_predict: %v", options["num_predict"])
}
if options["num_ctx"] != float64(131072) {
t.Errorf("unexpected num_ctx: %v", options["num_ctx"])
}
if body["keep_alive"] != "10m0s" {
t.Errorf("unexpected keep_alive: %v", body["keep_alive"])
}
@@ -41,6 +44,7 @@ func TestAnalyseStructured(t *testing.T) {
}))
defer srv.Close()
c := New(srv.URL, "m", "e", "de-DE", "formal", time.Second, 256, 10*time.Minute, false, 1, 1)
c.SetNumCtx(131072)
d, err := c.Analyse(context.Background(), model.Ticket{ID: 1}, []model.Category{{ID: 1}}, nil, nil, model.ContextSnapshot{})
if err != nil {
t.Fatal(err)
@@ -71,6 +75,42 @@ func TestAnalyseRetriesInvalidJSON(t *testing.T) {
}
}
func TestStructuredRetryDoesNotGrowPrompt(t *testing.T) {
calls := 0
var firstMessages string
srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
calls++
var body map[string]any
if err := json.NewDecoder(r.Body).Decode(&body); err != nil {
t.Fatal(err)
}
messages, _ := json.Marshal(body["messages"])
if calls == 1 {
firstMessages = string(messages)
} else if string(messages) != firstMessages {
t.Fatalf("retry grew or changed messages:\nfirst=%s\nretry=%s", firstMessages, messages)
}
options, _ := body["options"].(map[string]any)
if options["num_ctx"] != float64(8192) {
t.Fatalf("retry num_ctx=%v, want 8192", options["num_ctx"])
}
content := `{"category":`
if calls > 1 {
content = `{"category":{"id":2,"confidence":0.95},"reason":"ok"}`
}
_ = json.NewEncoder(w).Encode(map[string]any{"message": map[string]any{"content": content}})
}))
defer srv.Close()
c := New(srv.URL, "m", "e", "de-DE", "formal", time.Second, 768, time.Minute, false, 1, 1)
c.SetNumCtx(8192)
if _, err := c.AnalyseCategory(context.Background(), model.Ticket{ID: 1}, []model.Category{{ID: 2, Name: "VPN"}}, nil, model.ContextSnapshot{}); err != nil {
t.Fatal(err)
}
if calls != 2 {
t.Fatalf("calls=%d, want 2", calls)
}
}
func TestEmbedDisablesSilentTruncation(t *testing.T) {
srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
var body map[string]any
@@ -160,6 +200,7 @@ func TestAnalyseDoesNotExposeRichAnswerHTMLToModel(t *testing.T) {
}))
defer srv.Close()
c := New(srv.URL, "m", "e", "de-DE", "formal", time.Second, 768, time.Minute, false, 1, 0)
c.SetNumCtx(8192)
hits := []model.KnowledgeHit{{Doc: model.KnowledgeDoc{ID: "GLPI-KB-1", Title: "Login", Text: "plain", Answer: "plain", AnswerHTML: `<p>RICH_SECRET_MARKUP</p>`}}}
if _, err := c.Analyse(context.Background(), model.Ticket{ID: 1}, []model.Category{{ID: 2}}, nil, hits, model.ContextSnapshot{}); err != nil {
t.Fatal(err)
@@ -208,6 +249,13 @@ func TestAnalyseCategoryUsesDedicatedSchemaAndSanitizedKnowledge(t *testing.T) {
if strings.Contains(string(formatJSON), `"reply"`) {
t.Fatalf("reply schema leaked into category stage: %s", formatJSON)
}
if !strings.Contains(string(formatJSON), `"maxLength":320`) {
t.Fatalf("category reason length guard missing: %s", formatJSON)
}
options, _ := body["options"].(map[string]any)
if options["num_ctx"] != float64(8192) {
t.Fatalf("category num_ctx=%v, want 8192", options["num_ctx"])
}
messagesJSON, _ := json.Marshal(body["messages"])
if strings.Contains(string(messagesJSON), "SECRET_ANSWER") {
t.Fatalf("category answer leaked into prompt: %s", messagesJSON)
@@ -216,6 +264,7 @@ func TestAnalyseCategoryUsesDedicatedSchemaAndSanitizedKnowledge(t *testing.T) {
}))
defer srv.Close()
c := New(srv.URL, "m", "e", "de-DE", "formal", time.Second, 768, time.Minute, false, 1, 0)
c.SetNumCtx(8192)
hits := []model.KnowledgeHit{{Doc: model.KnowledgeDoc{ID: "CAT", Text: "vpn evidence", Answer: "SECRET_ANSWER"}}}
d, err := c.AnalyseCategory(context.Background(), model.Ticket{ID: 1}, []model.Category{{ID: 2, Name: "VPN"}}, hits, model.ContextSnapshot{})
if err != nil {
services/agent/internal/ollama/pool.go
+8 -7
View File
@@ -45,12 +45,13 @@ type PoolConfig struct {
}
type requestMeta struct {
TotalDuration int64 `json:"total_duration"`
LoadDuration int64 `json:"load_duration"`
PromptEvalCount int64 `json:"prompt_eval_count"`
PromptEvalDuration int64 `json:"prompt_eval_duration"`
EvalCount int64 `json:"eval_count"`
EvalDuration int64 `json:"eval_duration"`
TotalDuration int64 `json:"total_duration"`
LoadDuration int64 `json:"load_duration"`
PromptEvalCount int64 `json:"prompt_eval_count"`
PromptEvalDuration int64 `json:"prompt_eval_duration"`
EvalCount int64 `json:"eval_count"`
EvalDuration int64 `json:"eval_duration"`
DoneReason string `json:"done_reason"`
}
type poolNode struct {
@@ -519,7 +520,7 @@ func (p *Pool) post(ctx context.Context, path string, payload any, out any) erro
InflightAtStart: inflight, HTTPStatus: status, Outcome: outcomeText(reqErr), Retryable: retryable,
Error: errorText(reqErr), TotalDurationNS: meta.TotalDuration, LoadDurationNS: meta.LoadDuration,
PromptEvalCount: meta.PromptEvalCount, PromptEvalDuration: meta.PromptEvalDuration,
EvalCount: meta.EvalCount, EvalDuration: meta.EvalDuration,
EvalCount: meta.EvalCount, EvalDuration: meta.EvalDuration, DoneReason: meta.DoneReason,
})
if reqErr == nil {
markTraceSuccess(ctx, n.name, n.baseURL)
services/agent/internal/web/server.go
+1 -1
View File
@@ -452,7 +452,7 @@ func (s *Server) status(w http.ResponseWriter, r *http.Request) {
"uptime_kuma_enabled": s.cfg.UptimeKumaEnabled, "uptime_kuma_mode": s.cfg.UptimeKumaMode, "uptime_kuma_status_pages": s.cfg.UptimeKumaStatusPages, "context_fail_closed": s.cfg.ContextBlockReplyOnError, "context_incident_block": s.cfg.ContextBlockReplyOnIncident,
"context_status_reply_enabled": s.cfg.ContextStatusReplyEnabled, "context_status_reply_min_relevance": s.cfg.ContextStatusReplyMinRelevance, "context_status_reply_min_ai_confidence": s.cfg.ContextStatusReplyMinAIConfidence, "context_status_reply_min_final_score": s.cfg.ContextStatusReplyMinFinalScore, "context_incident_reply_text_configured": strings.TrimSpace(s.cfg.ContextIncidentReplyText) != "", "context_maintenance_reply_text_configured": strings.TrimSpace(s.cfg.ContextMaintenanceReplyText) != "",
"workers": s.cfg.Workers, "queue_size": s.cfg.QueueSize, "glpi_api_version": s.cfg.GLPIAPIVersion, "glpi_poll_interval": s.cfg.GLPIPollInterval.String(), "glpi_poll_limit": s.cfg.GLPIPollLimit, "glpi_allowed_status_ids": s.cfg.GLPIAllowedStatusIDs, "glpi_ticket_filter_configured": strings.TrimSpace(s.cfg.GLPITicketFilter) != "", "glpi_timeout": s.cfg.GLPITimeout.String(),
"ollama_model": s.cfg.OllamaModel, "ollama_embedding_model": s.cfg.OllamaEmbeddingModel, "ollama_timeout": s.cfg.OllamaTimeout.String(), "ollama_num_predict": s.cfg.OllamaNumPredict, "ollama_keep_alive": s.cfg.OllamaKeepAlive.String(), "ollama_think": s.cfg.OllamaThink, "ollama_max_concurrent": s.cfg.OllamaMaxConcurrent, "ollama_json_retries": s.cfg.OllamaJSONRetries,
"ollama_model": s.cfg.OllamaModel, "ollama_embedding_model": s.cfg.OllamaEmbeddingModel, "ollama_timeout": s.cfg.OllamaTimeout.String(), "ollama_num_predict": s.cfg.OllamaNumPredict, "ollama_num_ctx": s.cfg.OllamaNumCtx, "ollama_keep_alive": s.cfg.OllamaKeepAlive.String(), "ollama_think": s.cfg.OllamaThink, "ollama_max_concurrent": s.cfg.OllamaMaxConcurrent, "ollama_json_retries": s.cfg.OllamaJSONRetries,
"ollama_nodes": ollamaNodes, "ollama_node_count": len(ollamaNodes), "ollama_healthy_nodes": ollamaHealthyNodes, "ollama_available_nodes": ollamaAvailableNodes, "ollama_routing_mode": ollamaRoutingMode, "ollama_node_max_inflight": s.cfg.OllamaNodeMaxInflight, "ollama_node_health_interval": s.cfg.OllamaNodeHealthInterval.String(), "ollama_node_failure_cooldown": s.cfg.OllamaNodeFailureCooldown.String(), "ollama_node_request_timeout": s.cfg.OllamaNodeRequestTimeout.String(), "ollama_failover_enabled": s.cfg.OllamaFailoverEnabled, "ollama_failover_attempts": s.cfg.OllamaFailoverAttempts, "ollama_require_same_model_digest": s.cfg.OllamaRequireSameDigest, "ollama_require_embedding_model": s.cfg.OllamaRequireEmbeddingModel,
"rag_enabled": s.cfg.RAGEnabled, "knowledge_top_k": s.cfg.KnowledgeTopK, "knowledge_audit_top_k": s.cfg.KnowledgeAuditTopK, "knowledge_candidate_max_gap": s.cfg.KnowledgeCandidateMaxGap, "category_prompt_limit": s.cfg.CategoryPromptLimit, "knowledge_max_query_chunks": s.cfg.KnowledgeMaxQueryChunks,
"glpi_kb_path": s.cfg.GLPIKBPath, "glpi_kb_filter_configured": strings.TrimSpace(s.cfg.GLPIKBFilter) != "", "glpi_kb_limit": s.cfg.GLPIKBLimit, "glpi_kb_auto_reply": s.cfg.GLPIKBAutoReply, "glpi_kb_auto_reply_category_ids": s.cfg.GLPIKBAutoReplyCategoryIDs, "glpi_kb_auto_reply_allow_uncategorized": s.cfg.GLPIKBAutoReplyAllowUncategorized, "glpi_kb_auto_reply_uncategorized_article_ids": s.cfg.GLPIKBAutoReplyUncategorizedArticleIDs,
services/control/engineering-graph.json
+166 -82
View File
@@ -1072,7 +1072,7 @@
"community": "github.com/example/glpi-ai-agent/cmd/agent",
"meta": {
"exported": false,
"line": 260,
"line": 261,
"path": "services/agent/cmd/agent/main.go"
}
},
@@ -1084,7 +1084,7 @@
"community": "github.com/example/glpi-ai-agent/cmd/agent",
"meta": {
"exported": false,
"line": 211,
"line": 212,
"path": "services/agent/cmd/agent/main.go"
}
},
@@ -1096,7 +1096,7 @@
"community": "github.com/example/glpi-ai-agent/cmd/agent",
"meta": {
"exported": false,
"line": 227,
"line": 228,
"path": "services/agent/cmd/agent/main.go"
}
},
@@ -2464,7 +2464,7 @@
"community": "github.com/example/glpi-ai-agent/internal/config",
"meta": {
"exported": true,
"line": 1070,
"line": 1075,
"path": "services/agent/internal/config/config.go"
}
},
@@ -2476,7 +2476,7 @@
"community": "github.com/example/glpi-ai-agent/internal/config",
"meta": {
"exported": true,
"line": 444,
"line": 446,
"path": "services/agent/internal/config/config.go"
}
},
@@ -2488,7 +2488,7 @@
"community": "github.com/example/glpi-ai-agent/internal/config",
"meta": {
"exported": true,
"line": 226,
"line": 227,
"path": "services/agent/internal/config/config.go"
}
},
@@ -2500,7 +2500,7 @@
"community": "github.com/example/glpi-ai-agent/internal/config",
"meta": {
"exported": false,
"line": 1044,
"line": 1049,
"path": "services/agent/internal/config/config.go"
}
},
@@ -2512,7 +2512,7 @@
"community": "github.com/example/glpi-ai-agent/internal/config",
"meta": {
"exported": false,
"line": 1215,
"line": 1220,
"path": "services/agent/internal/config/config.go"
}
},
@@ -2524,7 +2524,7 @@
"community": "github.com/example/glpi-ai-agent/internal/config",
"meta": {
"exported": false,
"line": 1259,
"line": 1264,
"path": "services/agent/internal/config/config.go"
}
},
@@ -2536,7 +2536,7 @@
"community": "github.com/example/glpi-ai-agent/internal/config",
"meta": {
"exported": false,
"line": 1248,
"line": 1253,
"path": "services/agent/internal/config/config.go"
}
},
@@ -2548,7 +2548,7 @@
"community": "github.com/example/glpi-ai-agent/internal/config",
"meta": {
"exported": false,
"line": 1226,
"line": 1231,
"path": "services/agent/internal/config/config.go"
}
},
@@ -2560,7 +2560,7 @@
"community": "github.com/example/glpi-ai-agent/internal/config",
"meta": {
"exported": false,
"line": 1237,
"line": 1242,
"path": "services/agent/internal/config/config.go"
}
},
@@ -2572,7 +2572,7 @@
"community": "github.com/example/glpi-ai-agent/internal/config",
"meta": {
"exported": false,
"line": 1093,
"line": 1098,
"path": "services/agent/internal/config/config.go"
}
},
@@ -2584,7 +2584,7 @@
"community": "github.com/example/glpi-ai-agent/internal/config",
"meta": {
"exported": false,
"line": 1115,
"line": 1120,
"path": "services/agent/internal/config/config.go"
}
},
@@ -2596,7 +2596,7 @@
"community": "github.com/example/glpi-ai-agent/internal/config",
"meta": {
"exported": false,
"line": 1198,
"line": 1203,
"path": "services/agent/internal/config/config.go"
}
},
@@ -2608,7 +2608,7 @@
"community": "github.com/example/glpi-ai-agent/internal/config",
"meta": {
"exported": false,
"line": 1059,
"line": 1064,
"path": "services/agent/internal/config/config.go"
}
},
@@ -2620,7 +2620,7 @@
"community": "github.com/example/glpi-ai-agent/internal/config",
"meta": {
"exported": false,
"line": 1190,
"line": 1195,
"path": "services/agent/internal/config/config.go"
}
},
@@ -2632,7 +2632,7 @@
"community": "github.com/example/glpi-ai-agent/internal/config",
"meta": {
"exported": false,
"line": 1137,
"line": 1142,
"path": "services/agent/internal/config/config.go"
}
},
@@ -2644,7 +2644,7 @@
"community": "github.com/example/glpi-ai-agent/internal/config",
"meta": {
"exported": false,
"line": 1163,
"line": 1168,
"path": "services/agent/internal/config/config.go"
}
},
@@ -2656,7 +2656,7 @@
"community": "github.com/example/glpi-ai-agent/internal/config",
"meta": {
"exported": false,
"line": 1053,
"line": 1058,
"path": "services/agent/internal/config/config.go"
}
},
@@ -2668,7 +2668,7 @@
"community": "github.com/example/glpi-ai-agent/internal/config",
"meta": {
"exported": false,
"line": 1089,
"line": 1094,
"path": "services/agent/internal/config/config.go"
}
},
@@ -2680,7 +2680,7 @@
"community": "github.com/example/glpi-ai-agent/internal/config",
"meta": {
"exported": false,
"line": 1030,
"line": 1035,
"path": "services/agent/internal/config/config.go"
}
},
@@ -2692,7 +2692,7 @@
"community": "github.com/example/glpi-ai-agent/internal/config",
"meta": {
"exported": false,
"line": 1025,
"line": 1030,
"path": "services/agent/internal/config/config.go"
}
},
@@ -2704,7 +2704,7 @@
"community": "github.com/example/glpi-ai-agent/internal/config",
"meta": {
"exported": false,
"line": 1000,
"line": 1005,
"path": "services/agent/internal/config/config.go"
}
},
@@ -5572,7 +5572,7 @@
"community": "github.com/example/glpi-ai-agent/internal/ollama",
"meta": {
"exported": true,
"line": 379,
"line": 415,
"path": "services/agent/internal/ollama/client.go"
}
},
@@ -5584,7 +5584,7 @@
"community": "github.com/example/glpi-ai-agent/internal/ollama",
"meta": {
"exported": true,
"line": 182,
"line": 197,
"path": "services/agent/internal/ollama/client.go"
}
},
@@ -5596,7 +5596,7 @@
"community": "github.com/example/glpi-ai-agent/internal/ollama",
"meta": {
"exported": true,
"line": 519,
"line": 564,
"path": "services/agent/internal/ollama/client.go"
}
},
@@ -5608,7 +5608,7 @@
"community": "github.com/example/glpi-ai-agent/internal/ollama",
"meta": {
"exported": true,
"line": 475,
"line": 520,
"path": "services/agent/internal/ollama/client.go"
}
},
@@ -5620,7 +5620,7 @@
"community": "github.com/example/glpi-ai-agent/internal/ollama",
"meta": {
"exported": true,
"line": 291,
"line": 315,
"path": "services/agent/internal/ollama/client.go"
}
},
@@ -5632,7 +5632,7 @@
"community": "github.com/example/glpi-ai-agent/internal/ollama",
"meta": {
"exported": true,
"line": 224,
"line": 239,
"path": "services/agent/internal/ollama/client.go"
}
},
@@ -5644,7 +5644,7 @@
"community": "github.com/example/glpi-ai-agent/internal/ollama",
"meta": {
"exported": true,
"line": 66,
"line": 81,
"path": "services/agent/internal/ollama/client.go"
}
},
@@ -5656,7 +5656,7 @@
"community": "github.com/example/glpi-ai-agent/internal/ollama",
"meta": {
"exported": true,
"line": 64,
"line": 65,
"path": "services/agent/internal/ollama/client.go"
}
},
@@ -5668,7 +5668,7 @@
"community": "github.com/example/glpi-ai-agent/internal/ollama",
"meta": {
"exported": true,
"line": 63,
"line": 64,
"path": "services/agent/internal/ollama/client.go"
}
},
@@ -5680,7 +5680,19 @@
"community": "github.com/example/glpi-ai-agent/internal/ollama",
"meta": {
"exported": true,
"line": 65,
"line": 66,
"path": "services/agent/internal/ollama/client.go"
}
},
{
"id": "function:github.com/example/glpi-ai-agent/internal/ollama:Client.SetNumCtx",
"kind": "function",
"label": "Client.SetNumCtx",
"group": "engineering",
"community": "github.com/example/glpi-ai-agent/internal/ollama",
"meta": {
"exported": true,
"line": 72,
"path": "services/agent/internal/ollama/client.go"
}
},
@@ -5692,7 +5704,19 @@
"community": "github.com/example/glpi-ai-agent/internal/ollama",
"meta": {
"exported": true,
"line": 62,
"line": 63,
"path": "services/agent/internal/ollama/client.go"
}
},
{
"id": "function:github.com/example/glpi-ai-agent/internal/ollama:Client.chatOptions",
"kind": "function",
"label": "Client.chatOptions",
"group": "engineering",
"community": "github.com/example/glpi-ai-agent/internal/ollama",
"meta": {
"exported": false,
"line": 74,
"path": "services/agent/internal/ollama/client.go"
}
},
@@ -5704,7 +5728,7 @@
"community": "github.com/example/glpi-ai-agent/internal/ollama",
"meta": {
"exported": false,
"line": 79,
"line": 94,
"path": "services/agent/internal/ollama/client.go"
}
},
@@ -5716,7 +5740,7 @@
"community": "github.com/example/glpi-ai-agent/internal/ollama",
"meta": {
"exported": false,
"line": 126,
"line": 141,
"path": "services/agent/internal/ollama/client.go"
}
},
@@ -5728,7 +5752,7 @@
"community": "github.com/example/glpi-ai-agent/internal/ollama",
"meta": {
"exported": false,
"line": 349,
"line": 373,
"path": "services/agent/internal/ollama/client.go"
}
},
@@ -5740,7 +5764,7 @@
"community": "github.com/example/glpi-ai-agent/internal/ollama",
"meta": {
"exported": false,
"line": 627,
"line": 672,
"path": "services/agent/internal/ollama/client.go"
}
},
@@ -5752,7 +5776,7 @@
"community": "github.com/example/glpi-ai-agent/internal/ollama",
"meta": {
"exported": false,
"line": 471,
"line": 516,
"path": "services/agent/internal/ollama/client.go"
}
},
@@ -5764,7 +5788,7 @@
"community": "github.com/example/glpi-ai-agent/internal/ollama",
"meta": {
"exported": true,
"line": 27,
"line": 28,
"path": "services/agent/internal/ollama/client.go"
}
},
@@ -5776,7 +5800,7 @@
"community": "github.com/example/glpi-ai-agent/internal/ollama",
"meta": {
"exported": true,
"line": 54,
"line": 55,
"path": "services/agent/internal/ollama/client.go"
}
},
@@ -5788,7 +5812,7 @@
"community": "github.com/example/glpi-ai-agent/internal/ollama",
"meta": {
"exported": true,
"line": 273,
"line": 274,
"path": "services/agent/internal/ollama/pool.go"
}
},
@@ -5800,7 +5824,7 @@
"community": "github.com/example/glpi-ai-agent/internal/ollama",
"meta": {
"exported": true,
"line": 263,
"line": 264,
"path": "services/agent/internal/ollama/pool.go"
}
},
@@ -5812,7 +5836,7 @@
"community": "github.com/example/glpi-ai-agent/internal/ollama",
"meta": {
"exported": true,
"line": 244,
"line": 245,
"path": "services/agent/internal/ollama/pool.go"
}
},
@@ -5824,7 +5848,7 @@
"community": "github.com/example/glpi-ai-agent/internal/ollama",
"meta": {
"exported": false,
"line": 677,
"line": 678,
"path": "services/agent/internal/ollama/pool.go"
}
},
@@ -5836,7 +5860,7 @@
"community": "github.com/example/glpi-ai-agent/internal/ollama",
"meta": {
"exported": false,
"line": 389,
"line": 390,
"path": "services/agent/internal/ollama/pool.go"
}
},
@@ -5848,7 +5872,7 @@
"community": "github.com/example/glpi-ai-agent/internal/ollama",
"meta": {
"exported": false,
"line": 551,
"line": 552,
"path": "services/agent/internal/ollama/pool.go"
}
},
@@ -5860,7 +5884,7 @@
"community": "github.com/example/glpi-ai-agent/internal/ollama",
"meta": {
"exported": false,
"line": 606,
"line": 607,
"path": "services/agent/internal/ollama/pool.go"
}
},
@@ -5872,7 +5896,7 @@
"community": "github.com/example/glpi-ai-agent/internal/ollama",
"meta": {
"exported": false,
"line": 455,
"line": 456,
"path": "services/agent/internal/ollama/pool.go"
}
},
@@ -5884,7 +5908,7 @@
"community": "github.com/example/glpi-ai-agent/internal/ollama",
"meta": {
"exported": false,
"line": 281,
"line": 282,
"path": "services/agent/internal/ollama/pool.go"
}
},
@@ -5896,7 +5920,7 @@
"community": "github.com/example/glpi-ai-agent/internal/ollama",
"meta": {
"exported": false,
"line": 587,
"line": 588,
"path": "services/agent/internal/ollama/pool.go"
}
},
@@ -5908,7 +5932,7 @@
"community": "github.com/example/glpi-ai-agent/internal/ollama",
"meta": {
"exported": false,
"line": 690,
"line": 691,
"path": "services/agent/internal/ollama/pool.go"
}
},
@@ -5920,7 +5944,7 @@
"community": "github.com/example/glpi-ai-agent/internal/ollama",
"meta": {
"exported": true,
"line": 784,
"line": 785,
"path": "services/agent/internal/ollama/pool.go"
}
},
@@ -5932,7 +5956,7 @@
"community": "github.com/example/glpi-ai-agent/internal/ollama",
"meta": {
"exported": true,
"line": 741,
"line": 742,
"path": "services/agent/internal/ollama/pool.go"
}
},
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