Default LLM to gpt-5.6-luna #7078
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| DEFAULT_LLM_MODEL = "gpt-5.6-luna" | ||
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There was a problem hiding this comment. 🩺 Stability & Availability | 🟠 Major | ⚡ Quick win 🧩 Analysis chain🏁 Script executed: #!/usr/bin/env bash
set -euo pipefail
rg -n 'litellm|openai|gpt-5\.6-luna|DEFAULT_LLM_MODEL' \
--glob 'pyproject.toml' \
--glob 'uv.lock' \
--glob 'requirements*.txt' .
python - <<'PY'
import litellm
print("LiteLLM version:", getattr(litellm, "__version__", "unknown"))
for model in ("gpt-5.6-luna", "openai/gpt-5.6-luna"):
print(model, model in getattr(litellm, "model_cost", {}))
PYRepository: crewAIInc/crewAI Length of output: 2683 🏁 Script executed: #!/usr/bin/env bash
set -euo pipefail
printf '%s\n' '--- constants and project defaults ---'
cat -n lib/crewai/src/crewai/constants.py | sed -n '335,360p'
cat -n lib/cli/src/crewai_cli/constants.py | sed -n '342,367p'
printf '%s\n' '--- relevant runtime symbols ---'
rg -n -C 4 'DEFAULT_LLM_MODEL|llm_utils|litellm|LLM\(' lib/crewai/src lib/cli/src \
--glob '*.py' --glob '*.mdx'
printf '%s\n' '--- dependency declarations ---'
cat -n lib/crewai/pyproject.toml | sed -n '1,110p'
cat -n pyproject.toml | sed -n '220,242p'
cat -n uv.lock | sed -n '1445,1465p;4100,4130p'
printf '%s\n' '--- localized documentation files ---'
fd -i 'llm-connections.mdx' .Repository: crewAIInc/crewAI Length of output: 50372 🏁 Script executed: #!/usr/bin/env bash
set -euo pipefail
printf '%s\n' '--- exact default references ---'
rg -n -C 5 'DEFAULT_LLM_MODEL|gpt-5\.6-luna' . \
--glob '*.py' --glob '*.md' --glob '*.mdx' --glob '*.toml' --glob '*.json' \
| head -n 500
printf '%s\n' '--- LLM routing implementation ---'
cat -n lib/crewai/src/crewai/llm.py | sed -n '368,525p'
cat -n lib/crewai/src/crewai/llm.py | sed -n '680,740p'
printf '%s\n' '--- dependency declarations and lock entry ---'
cat -n lib/crewai/pyproject.toml | sed -n '1,105p'
cat -n uv.lock | sed -n '1448,1463p;4106,4128p'
printf '%s\n' '--- documentation files and fallback text ---'
fd -i 'llm-connections.mdx' .
rg -n -C 3 'fallback|default model|gpt-5\.6-luna|LiteLLM' \
--glob 'llm-connections.mdx' .Repository: crewAIInc/crewAI Length of output: 50375 🌐 Web query:
💡 Result: LiteLLM version 1.84.8 is a maintenance release focused on database resilience and key rotation improvements, not the addition of GPT-5.6 support [1][2][3]. Support for the OpenAI GPT-5.6 family (including gpt-5.6-luna) was added in later versions of LiteLLM, specifically bundled starting with v1.93.0-dev.2 for local model cost maps [4][5]. The GPT-5.6 family was released by OpenAI on July 9, 2026 [6][7]. Key details regarding your query: LiteLLM 1.84.8 Release Notes: This version, released on June 13, 2026, primarily includes patches for database-related issues (such as Prisma reconnection and timeout controls), grace-period key rotation fixes, and streaming corrections [1][2][3]. It does not contain support or pricing for the GPT-5.6 model family [4][5]. GPT-5.6 Support: LiteLLM provides Day 0 support for the GPT-5.6 family (Sol, Terra, and Luna) [4][5]. Since v1.93.0, LiteLLM includes this metadata in its bundled model cost maps [4][5]. Users can enable cost tracking and context-window enforcement by ensuring they are running a version >= 1.93.0 or by reloading the model cost map [4][5]. GPT-5.6-Luna Pricing: In LiteLLM's model cost map, the pricing for gpt-5.6-luna is structured as follows (standard tiers, per million tokens): Input: $1.00 [4][5] Output: $6.00 [4][5] Cache Read: $0.10 [4][5] Cache Write: $1.25 [4][5] You can access these models by configuring your model_list in LiteLLM to use openai/gpt-5.6-luna [4][5]. If you are running an older version like 1.84.8, you must upgrade to at least v1.93.0 to benefit from the built-in cost tracking and metadata for the GPT-5.6 family [4][5]. Citations:
🏁 Script executed: #!/usr/bin/env bash
set -euo pipefail
printf '%s\n' '--- exact constant references only ---'
rg -n -F 'DEFAULT_LLM_MODEL' . --glob '*.py' --glob '*.toml' --glob '*.json' --glob '!docs/**' --glob '!**/.venv/**'
printf '%s\n' '--- exact model references only ---'
rg -n -F 'gpt-5.6-luna' . --glob '*.py' --glob '*.toml' --glob '*.json' --glob '*.mdx' --glob '!docs/**' --glob '!**/.venv/**'
printf '%s\n' '--- llm_utils default path ---'
fd -i 'llm_utils.py' lib/crewai
wc -l lib/crewai/src/crewai/utilities/llm_utils.py
rg -n -C 8 'DEFAULT_LLM_MODEL|create_llm|model_name|OPENAI_MODEL_NAME' \
lib/crewai/src/crewai/utilities/llm_utils.py lib/crewai/src/crewai/crew.py
printf '%s\n' '--- CLI constant consumers ---'
rg -n -C 8 'DEFAULT_LLM_MODEL|constants\.DEFAULT|from .*constants import' \
lib/cli/src/crewai_cli --glob '*.py' --glob '!model_catalog.py'
printf '%s\n' '--- dependency and lock data ---'
rg -n -C 3 '^name = "litellm"$|litellm>=|litellm-' lib/crewai/pyproject.toml uv.lockRepository: crewAIInc/crewAI Length of output: 29465 🏁 Script executed: #!/usr/bin/env bash
set -euo pipefail
printf '%s\n' '--- default references, summarized by file ---'
python3 - <<'PY'
from pathlib import Path
for root in (Path("lib/crewai"), Path("lib/cli")):
for path in root.rglob("*"):
if path.is_file() and path.suffix in {".py", ".toml", ".json"}:
try:
text = path.read_text()
except UnicodeDecodeError:
continue
for lineno, line in enumerate(text.splitlines(), 1):
if "DEFAULT_LLM_MODEL" in line or "gpt-5.6-luna" in line:
print(f"{path}:{lineno}:{line.strip()}")
PY
printf '%s\n' '--- llm_utils and default model configuration ---'
fd -i 'llm_utils.py' lib/crewai
rg -n -C 10 'DEFAULT_LLM_MODEL|create_llm|model_name|OPENAI_MODEL_NAME' \
lib/crewai/src/crewai/utilities/llm_utils.py lib/crewai/src/crewai/crew.py
printf '%s\n' '--- CLI constant consumers ---'
rg -n -C 8 'DEFAULT_LLM_MODEL|constants\.DEFAULT|from .*constants import' \
lib/cli/src/crewai_cli --glob '*.py' --glob '!model_catalog.py'
printf '%s\n' '--- dependency and lock data ---'
rg -n -C 3 '^name = "litellm"$|litellm>=|litellm-' lib/crewai/pyproject.toml uv.lock
printf '%s\n' '--- LiteLLM 1.84.8 model-price key probe ---'
python3 - <<'PY'
import json
from urllib.request import urlopen
urls = [
"https://raw.githubusercontent.com/BerriAI/litellm/v1.84.8/model_prices_and_context_window.json",
"https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
]
for url in urls:
try:
with urlopen(url, timeout=15) as response:
data = json.load(response)
print(url)
for key in ("gpt-5.6-luna", "openai/gpt-5.6-luna"):
print(key, key in data, data.get(key))
except Exception as exc:
print(url, type(exc).__name__, str(exc))
PYRepository: crewAIInc/crewAI Length of output: 32147 🏁 Script executed: #!/usr/bin/env bash
set -euo pipefail
printf '%s\n' '--- provider detection and native routing ---'
rg -n -C 6 'SUPPORTED_NATIVE_PROVIDERS|def __new__|provider =|custom_openai|_get_native_provider|model_string|native_class' \
lib/crewai/src/crewai/llm.py
cat -n lib/crewai/src/crewai/llm.py | sed -n '390,505p'
printf '%s\n' '--- native OpenAI adapter ---'
fd -i '*openai*' lib/crewai/src/crewai/llms
rg -n -C 5 'class OpenAI|SUPPORTED_NATIVE_PROVIDERS|provider.*openai|completion' \
lib/crewai/src/crewai/llms lib/crewai/src/crewai/llm.py | head -n 300
printf '%s\n' '--- CLI generator model selection ---'
cat -n lib/cli/src/crewai_cli/create_json_crew.py | sed -n '1,115p'
rg -n -C 8 'default_llm|_default_model_for_provider|gpt-5\.6-luna|openai/' \
lib/cli/src/crewai_cli/create_json_crew.py lib/cli/src/crewai_cli --glob '*.py' \
| head -n 300
printf '%s\n' '--- direct metadata probe with curl ---'
for url in \
'https://raw.githubusercontent.com/BerriAI/litellm/v1.84.8/model_prices_and_context_window.json' \
'https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json'
do
echo "$url"
curl -k -L --fail --silent --show-error --max-time 20 "$url" \
| python3 -c '
import json, sys
data = json.load(sys.stdin)
for key in ("gpt-5.6-luna", "openai/gpt-5.6-luna"):
print(key, key in data, data.get(key))
'
doneRepository: crewAIInc/crewAI Length of output: 18151 🏁 Script executed: #!/usr/bin/env bash
set -euo pipefail
printf '%s\n' '--- OpenAI model allow-list ---'
rg -n -C 3 'OPENAI_MODELS|gpt-5|gpt-4o' lib/crewai/src/crewai/constants.py
printf '%s\n' '--- provider inference ---'
cat -n lib/crewai/src/crewai/llm.py | sed -n '633,664p'
printf '%s\n' '--- CLI generated-model implementation ---'
cat -n lib/cli/src/crewai_cli/create_json_crew.py | sed -n '35,75p'
rg -n -C 10 '_default_model_for_provider|default_llm|openai/' \
lib/cli/src/crewai_cli/create_json_crew.py
printf '%s\n' '--- CLI model catalog and constants ---'
cat -n lib/cli/src/crewai_cli/constants.py | sed -n '115,145p'
rg -n -C 8 'def select_model|return .*model|default_llm|openai/' \
lib/cli/src/crewai_cli/provider.py lib/cli/src/crewai_cli/create_crew.py
printf '%s\n' '--- direct LiteLLM metadata probe ---'
for url in \
'https://raw.githubusercontent.com/BerriAI/litellm/v1.84.8/model_prices_and_context_window.json' \
'https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json'
do
echo "$url"
curl -k -L --fail --silent --show-error --max-time 20 "$url" \
| python3 -c '
import json, sys
data = json.load(sys.stdin)
for key in ("gpt-5.6-luna", "openai/gpt-5.6-luna"):
print(key, key in data)
'
doneRepository: crewAIInc/crewAI Length of output: 13286 🏁 Script executed: #!/usr/bin/env bash
set -euo pipefail
python3 - <<'PY'
from pathlib import Path
import ast
import re
constants = Path("lib/crewai/src/crewai/constants.py").read_text()
llm = Path("lib/crewai/src/crewai/llm.py").read_text()
cli = Path("lib/cli/src/crewai_cli/create_json_crew.py").read_text()
lock = Path("uv.lock").read_text()
tree = ast.parse(constants)
openai_models = set()
for node in tree.body:
if isinstance(node, ast.Assign):
for target in node.targets:
if isinstance(target, ast.Name) and target.id == "OPENAI_MODELS":
openai_models = set(ast.literal_eval(node.value))
break
assert "gpt-5.6-luna" not in openai_models
assert re.search(r'litellm-1\.84\.8-py3-none-any\.whl', lock)
# Model routing expressed by LLM.__new__:
# an unqualified model uses _infer_provider_from_model() and native routing;
# an explicit openai/ prefix requires _validate_model_in_constants().
unqualified = "gpt-5.6-luna"
qualified = "openai/gpt-5.6-luna"
assert unqualified.startswith("gpt-")
assert qualified.split("/", 1)[1] not in openai_models
assert 'default_llm = _default_model_for_provider(provider)' in cli
assert 'f"'{ + "'openai/{model_id}'" + '}' in cli or 'f"{provider_key}/{model_id}"' in cli
print("OPENAI_MODELS contains gpt-5.6-luna:", unqualified in openai_models)
print("Unqualified default selects native-inference branch: True")
print("Qualified CLI model passes native allow-list:", qualified.split("/", 1)[1] in openai_models)
print("Locked LiteLLM version: 1.84.8")Repository: crewAIInc/crewAI Length of output: 407 🏁 Script executed: #!/usr/bin/env bash
set -euo pipefail
python3 - <<'PY'
from pathlib import Path
import ast
import re
constants_path = Path("lib/crewai/src/crewai/constants.py")
llm_path = Path("lib/crewai/src/crewai/llm.py")
cli_path = Path("lib/cli/src/crewai_cli/create_json_crew.py")
lock_path = Path("uv.lock")
constants = constants_path.read_text()
llm = llm_path.read_text()
cli = cli_path.read_text()
lock = lock_path.read_text()
tree = ast.parse(constants)
openai_models = set()
for node in tree.body:
if isinstance(node, ast.Assign):
if any(isinstance(target, ast.Name) and target.id == "OPENAI_MODELS"
for target in node.targets):
openai_models = set(ast.literal_eval(node.value))
break
assert "gpt-5.6-luna" not in openai_models
assert "gpt-5.6-luna" in constants
assert "_infer_provider_from_model(model)" in llm
assert "use_native = True" in llm
assert "f'{provider_key}/{model_id}'" in cli
assert re.search(r'name = "litellm"\s+version = "1\.84\.8"', lock)
print("OPENAI_MODELS contains gpt-5.6-luna:", "gpt-5.6-luna" in openai_models)
print("Unqualified gpt-5.6-luna uses inferred native-provider branch: True")
print("Qualified openai/gpt-5.6-luna passes the native allow-list:",
"gpt-5.6-luna" in openai_models)
print("CLI formats provider/model values:", "f'{provider_key}/{model_id}'" in cli)
print("Locked LiteLLM version: 1.84.8")
PYRepository: crewAIInc/crewAI Length of output: 243 🏁 Script executed: #!/usr/bin/env bash
set -euo pipefail
python3 - <<'PY'
from pathlib import Path
import ast
constants = Path("lib/crewai/src/crewai/constants.py").read_text()
llm = Path("lib/crewai/src/crewai/llm.py").read_text()
cli = Path("lib/cli/src/crewai_cli/create_json_crew.py").read_text()
lock = Path("uv.lock").read_text()
tree = ast.parse(constants)
openai_models = set()
for node in tree.body:
if isinstance(node, ast.Assign):
if any(isinstance(target, ast.Name) and target.id == "OPENAI_MODELS"
for target in node.targets):
openai_models = set(ast.literal_eval(node.value))
break
checks = {
"default_constant_present": "gpt-5.6-luna" in constants,
"default_absent_from_library_openai_allowlist": "gpt-5.6-luna" not in openai_models,
"inference_call_present": "_infer_provider_from_model(model)" in llm,
"native_branch_present": "use_native = True" in llm,
"cli_provider_model_format_present": "f\"{provider_key}/{model_id}\"" in cli,
"locked_litellm_1_84_8_present": 'name = "litellm"' in lock and 'version = "1.84.8"' in lock,
}
for name, result in checks.items():
print(f"{name}: {result}")
print("library OPENAI_MODELS entries:", sorted(openai_models))
print("CLI model-format lines:")
for line in cli.splitlines():
if "provider_key" in line and "model_id" in line:
print(line.strip())
PYRepository: crewAIInc/crewAI Length of output: 465 🏁 Script executed: #!/usr/bin/env bash
set -euo pipefail
python3 - <<'PY'
from pathlib import Path
import ast
import re
constants_text = Path("lib/crewai/src/crewai/constants.py").read_text()
llm_text = Path("lib/crewai/src/crewai/llm.py").read_text()
cli_text = Path("lib/cli/src/crewai_cli/create_json_crew.py").read_text()
lock_text = Path("uv.lock").read_text()
tree = ast.parse(constants_text)
openai_models = None
for node in tree.body:
target_names = []
value = None
if isinstance(node, ast.Assign):
target_names = [
target.id for target in node.targets if isinstance(target, ast.Name)
]
value = node.value
elif isinstance(node, ast.AnnAssign) and isinstance(node.target, ast.Name):
target_names = [node.target.id]
value = node.value
if "OPENAI_MODELS" in target_names:
openai_models = set(ast.literal_eval(value))
break
assert openai_models is not None
assert "gpt-5.6-luna" not in openai_models
assert "_infer_provider_from_model(model)" in llm_text
assert "use_native = True" in llm_text
assert 'result = f"{provider_key}/{model_id}"' in cli_text
assert re.search(r'name = "litellm"\nversion = "1\.84\.8"', lock_text)
print("Library OPENAI_MODELS count:", len(openai_models))
print("gpt-5.6-luna in library OPENAI_MODELS:", "gpt-5.6-luna" in openai_models)
print("Unqualified default follows inferred native-provider branch: True")
print("CLI emits openai/gpt-5.6-luna for the selected OpenAI model: True")
print("Locked LiteLLM version: 1.84.8")Repository: crewAIInc/crewAI Length of output: 330 🏁 Script executed: #!/usr/bin/env bash
set -u
python3 - <<'PY'
from pathlib import Path
import ast
constants_text = Path("lib/crewai/src/crewai/constants.py").read_text()
llm_text = Path("lib/crewai/src/crewai/llm.py").read_text()
cli_text = Path("lib/cli/src/crewai_cli/create_json_crew.py").read_text()
lock_text = Path("uv.lock").read_text()
openai_models = None
for node in ast.walk(ast.parse(constants_text)):
name = None
value = None
if isinstance(node, ast.Assign):
for target in node.targets:
if isinstance(target, ast.Name) and target.id == "OPENAI_MODELS":
name, value = target.id, node.value
elif isinstance(node, ast.AnnAssign):
if isinstance(node.target, ast.Name) and node.target.id == "OPENAI_MODELS":
name, value = node.target.id, node.value
if name:
try:
openai_models = set(ast.literal_eval(value))
except Exception as exc:
print("OPENAI_MODELS parse error:", type(exc).__name__, str(exc))
break
print("OPENAI_MODELS found:", openai_models is not None)
print("OPENAI_MODELS count:", len(openai_models or ()))
print("gpt-5.6-luna in OPENAI_MODELS:", bool(openai_models and "gpt-5.6-luna" in openai_models))
print("inference call present:", "_infer_provider_from_model(model)" in llm_text)
print("native branch present:", "use_native = True" in llm_text)
print("CLI provider/model formatting present:",
'result = f"{provider_key}/{model_id}"' in cli_text)
print("lock has litellm package:", 'name = "litellm"' in lock_text)
print("lock has version 1.84.8:", 'version = "1.84.8"' in lock_text)
PYRepository: crewAIInc/crewAI Length of output: 403 🏁 Script executed: #!/usr/bin/env bash
set -euo pipefail
cat -n lib/crewai/src/crewai/constants.py | sed -n '1,175p'
rg -n -C 5 'OPENAI_MODELS|gpt-4\.1|gpt-4o|o1-mini' \
lib/crewai/src/crewai/constants.py lib/crewai/src/crewai/llm.pyRepository: crewAIInc/crewAI Length of output: 12234 🏁 Script executed: #!/usr/bin/env bash
set -euo pipefail
fd -i 'constants.py' lib/crewai/src/crewai/llms
rg -n -C 4 'OPENAI_MODELS|gpt-5\.6-luna|gpt-5' \
lib/crewai/src/crewai/llms/constants.pyRepository: crewAIInc/crewAI Length of output: 2011 Route the CLI-generated model through a supported path. The library default uses native OpenAI routing, but the CLI generates 📍 Affects 2 files
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| JSON_URL = "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json" | ||
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🎯 Functional Correctness | 🟡 Minor | ⚡ Quick win
Correct the fallback wording in every localized guide.
All four notes describe
OPENAI_MODEL_NAMEas the sole source of the default. The runtime also checksMODELandMODEL_NAME, then usesDEFAULT_LLM_MODEL.docs/edge/en/learn/llm-connections.mdx#L13-L13: describe the application fallback instead of assigning a default toOPENAI_MODEL_NAME.docs/edge/ar/learn/llm-connections.mdx#L13-L13: apply the same fallback wording in Arabic.docs/edge/ko/learn/llm-connections.mdx#L13-L13: apply the same fallback wording in Korean.docs/edge/pt-BR/learn/llm-connections.mdx#L13-L13: apply the same fallback wording in Brazilian Portuguese.📍 Affects 4 files
docs/edge/en/learn/llm-connections.mdx#L13-L13(this comment)docs/edge/ar/learn/llm-connections.mdx#L13-L13docs/edge/ko/learn/llm-connections.mdx#L13-L13docs/edge/pt-BR/learn/llm-connections.mdx#L13-L13🤖 Prompt for AI Agents