github-mirrors/tradingagents
1
0
Fork 0
mirror of https://github.com/TauricResearch/TradingAgents.git synced 2026-05-01 14:33:10 +03:00
Code Issues Packages Projects Releases Wiki Activity

feat: multi-language output support for analyst reports and final decision (#472)

Browse Source
This commit is contained in:
Yijia-Xiao
2026-03-29 19:19:01 +00:00
parent c61242a28c
commit 6cddd26d6e
9 changed files with 86 additions and 17 deletions
Download Patch File Download Diff File Expand all files Collapse all files

37
cli/main.py
View File

@@ -519,10 +519,19 @@ def get_user_selections():
)
analysis_date = get_analysis_date()
# Step 3: Select analysts
# Step 3: Output language
console.print(
create_question_box(
"Step 3: Analysts Team", "Select your LLM analyst agents for the analysis"
"Step 3: Output Language",
"Select the language for analyst reports and final decision"
)
)
output_language = ask_output_language()
# Step 4: Select analysts
console.print(
create_question_box(
"Step 4: Analysts Team", "Select your LLM analyst agents for the analysis"
)
)
selected_analysts = select_analysts()
@@ -530,32 +539,32 @@ def get_user_selections():
f"[green]Selected analysts:[/green] {', '.join(analyst.value for analyst in selected_analysts)}"
)
# Step 4: Research depth
# Step 5: Research depth
console.print(
create_question_box(
"Step 4: Research Depth", "Select your research depth level"
"Step 5: Research Depth", "Select your research depth level"
)
)
selected_research_depth = select_research_depth()
# Step 5: OpenAI backend
# Step 6: LLM Provider
console.print(
create_question_box(
"Step 5: OpenAI backend", "Select which service to talk to"
"Step 6: LLM Provider", "Select your LLM provider"
)
)
selected_llm_provider, backend_url = select_llm_provider()
# Step 6: Thinking agents
# Step 7: Thinking agents
console.print(
create_question_box(
"Step 6: Thinking Agents", "Select your thinking agents for analysis"
"Step 7: Thinking Agents", "Select your thinking agents for analysis"
)
)
selected_shallow_thinker = select_shallow_thinking_agent(selected_llm_provider)
selected_deep_thinker = select_deep_thinking_agent(selected_llm_provider)
# Step 7: Provider-specific thinking configuration
# Step 8: Provider-specific thinking configuration
thinking_level = None
reasoning_effort = None
anthropic_effort = None
@@ -564,7 +573,7 @@ def get_user_selections():
if provider_lower == "google":
console.print(
create_question_box(
"Step 7: Thinking Mode",
"Step 8: Thinking Mode",
"Configure Gemini thinking mode"
)
)
@@ -572,7 +581,7 @@ def get_user_selections():
elif provider_lower == "openai":
console.print(
create_question_box(
"Step 7: Reasoning Effort",
"Step 8: Reasoning Effort",
"Configure OpenAI reasoning effort level"
)
)
@@ -580,7 +589,7 @@ def get_user_selections():
elif provider_lower == "anthropic":
console.print(
create_question_box(
"Step 7: Effort Level",
"Step 8: Effort Level",
"Configure Claude effort level"
)
)
@@ -598,6 +607,7 @@ def get_user_selections():
"google_thinking_level": thinking_level,
"openai_reasoning_effort": reasoning_effort,
"anthropic_effort": anthropic_effort,
"output_language": output_language,
}
@@ -931,6 +941,7 @@ def run_analysis():
config["google_thinking_level"] = selections.get("google_thinking_level")
config["openai_reasoning_effort"] = selections.get("openai_reasoning_effort")
config["anthropic_effort"] = selections.get("anthropic_effort")
config["output_language"] = selections.get("output_language", "English")
# Create stats callback handler for tracking LLM/tool calls
stats_handler = StatsCallbackHandler()