fix(opencode): move local development config to NVIDIA NIM #543
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,8 +1,8 @@ | ||
| { | ||
| "$schema": "https://opencode.ai/config.json", | ||
| "model": "nvidia-nim/nvidia/llama-3.3-nemotron-super-49b-v1.5", | ||
| "small_model": "nvidia-nim/meta/llama-3.1-8b-instruct", | ||
| "enabled_providers": ["nvidia-nim"], | ||
| "mcp": { | ||
| "codegraph": { | ||
| "type": "local", | ||
|
|
@@ -37,38 +37,37 @@ | |
| } | ||
| }, | ||
| "provider": { | ||
| "nvidia-nim": { | ||
| "npm": "@ai-sdk/openai-compatible", | ||
| "name": "NVIDIA NIM", | ||
| "options": { | ||
| "baseURL": "https://integrate.api.nvidia.com/v1", | ||
| "apiKey": "{env:NVIDIA_API_KEY}" | ||
| }, | ||
| "models": { | ||
| "nvidia/llama-3.3-nemotron-super-49b-v1.5": { | ||
| "name": "NVIDIA Llama 3.3 Nemotron Super 49B v1.5", | ||
| "tool_call": true, | ||
| "reasoning": true, | ||
| "limit": { | ||
| "context": 131072, | ||
| "output": 65536 | ||
| } | ||
| }, | ||
| "meta/llama-3.1-8b-instruct": { | ||
| "name": "Meta Llama 3.1 8B Instruct (NIM)", | ||
| "tool_call": true, | ||
| "limit": { | ||
| "context": 131072, | ||
| "output": 4096 | ||
| } | ||
| }, | ||
| "meta/llama-3.3-70b-instruct": { | ||
| "name": "Meta Llama 3.3 70B Instruct (NIM)", | ||
| "tool_call": true, | ||
| "limit": { | ||
| "context": 131072, | ||
| "output": 8192 | ||
|
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There was a problem hiding this comment. 🎯 Functional Correctness | 🟠 Major | ⚡ Quick win 🧩 Analysis chain🏁 Script executed: #!/bin/bash
set -eu
printf '%s\n' '--- candidate files ---'
git ls-files | grep -E '(^|/)(opencode\.jsonc|AGENTS\.md|ARCHITECTURE\.md|tests/unit/opencode-config\.test\.mjs|\.jules/)' || true
printf '%s\n' '--- opencode.jsonc lines 1-85 ---'
cat -n opencode.jsonc | sed -n '1,85p'
printf '%s\n' '--- config test ---'
if [ -f tests/unit/opencode-config.test.mjs ]; then
cat -n tests/unit/opencode-config.test.mjs
fi
printf '%s\n' '--- repository instructions ---'
for f in AGENTS.md ARCHITECTURE.md; do
if [ -f "$f" ]; then
printf '%s\n' "--- $f ---"
cat -n "$f"
fi
done
printf '%s\n' '--- relevant symbols and documentation ---'
rg -n --hidden --glob '!node_modules' --glob '!dist' \
'limit\.output|max_tokens|meta/llama-3\.3-70b-instruct|NVIDIA|NIM|opencode\.jsonc' \
. | head -250Repository: ContextualWisdomLab/scopeweave Length of output: 12750 🌐 Web query:
💡 Result: In the official NVIDIA NIM API documentation for meta/llama-3.3-70b-instruct, the Citations:
🌐 Web query:
💡 Result: In OpenCode, you can configure model limits, including context and output token counts, directly within your configuration file [1][2]. This allows the application to accurately manage its internal token tracking and context management [1][2]. ### Configuring Model Limits You can define specific limits for individual models in your Citations:
🏁 Script executed: #!/bin/bash
set -eu
printf '%s\n' '--- relevant learning documents ---'
for f in .jules/bolt.md .jules/palette.md .jules/sentinel.md; do
printf '%s\n' "--- $f ---"
cat -n "$f"
done
printf '%s\n' '--- deterministic configuration check ---'
python3 - <<'PY'
import json
from pathlib import Path
config = json.loads(Path("opencode.jsonc").read_text())
model = config["provider"]["nvidia-nim"]["models"]["meta/llama-3.3-70b-instruct"]
output = model["limit"]["output"]
print(f"model={model['name']}")
print(f"configured_output={output}")
print(f"provider_max_tokens=4096")
print(f"exceeds_provider_limit={output > 4096}")
test_text = Path("tests/unit/opencode-config.test.mjs").read_text()
print(f"test_asserts_output_limit={'limit.output' in test_text or 'output' in test_text}")
print(f"test_asserts_4096={'4096' in test_text}")
PYRepository: ContextualWisdomLab/scopeweave Length of output: 37689
NVIDIA NIM의 수정안- "output": 8192
+ "output": 4096🤖 Prompt for AI Agents |
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| } | ||
| } | ||
| } | ||
|
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,24 @@ | ||
| import assert from 'node:assert/strict'; | ||
| import { readFileSync } from 'node:fs'; | ||
| import test from 'node:test'; | ||
|
|
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| const config = JSON.parse(readFileSync(new URL('../../opencode.jsonc', import.meta.url), 'utf8')); | ||
|
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| test('OpenCode development config uses only currently hosted NVIDIA NIM candidates', () => { | ||
| assert.equal(config.model, 'nvidia-nim/nvidia/llama-3.3-nemotron-super-49b-v1.5'); | ||
| assert.equal(config.small_model, 'nvidia-nim/meta/llama-3.1-8b-instruct'); | ||
| assert.deepEqual(config.enabled_providers, ['nvidia-nim']); | ||
|
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| const provider = config.provider?.['nvidia-nim']; | ||
| assert.ok(provider, 'NVIDIA NIM provider must be configured'); | ||
| assert.equal(provider.options?.baseURL, 'https://integrate.api.nvidia.com/v1'); | ||
| assert.equal(provider.options?.apiKey, '{env:NVIDIA_API_KEY}'); | ||
| assert.ok(provider.models?.['nvidia/llama-3.3-nemotron-super-49b-v1.5']); | ||
| assert.ok(provider.models?.['meta/llama-3.1-8b-instruct']); | ||
| assert.ok(provider.models?.['meta/llama-3.3-70b-instruct']); | ||
|
|
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| const serialized = JSON.stringify(config); | ||
| assert.doesNotMatch(serialized, /github-models/i); | ||
| assert.doesNotMatch(serialized, /STRIX_GITHUB_MODELS_TOKEN/); | ||
| assert.doesNotMatch(serialized, /COPILOT_GITHUB_TOKEN/); | ||
| }); |
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📐 Maintainability & Code Quality | 🟡 Minor | ⚡ Quick win
관사를 수정하십시오.
Line 57의
a NVIDIA NIM-only candidate set은 문법적으로 맞지 않습니다.an NVIDIA NIM-only candidate set으로 변경하십시오.🤖 Prompt for AI Agents