functional pfdr

agent_trace.txt

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+
+
+> Entering new AgentExecutor chain...
+To determine the mass of the Milky Way galaxy, I need to gather information about its estimated mass from reliable sources. This involves looking for data on the total mass, which includes stars, gas, dust, dark matter, and other components. 
+
+Action: Library
+Action Input: "mass of the Milky Way galaxy"
+To determine the mass of the Milky Way galaxy, I need to analyze the information gathered from the library regarding its total mass, which includes contributions from stars, gas, dust, and dark matter.
+
+1. **Stellar Mass**: One of the papers indicates that the stellar mass of the Milky Way is approximately \(5 \times 10^{10}\) solar masses.
+
+2. **Dark Matter Contribution**: The relationship between the mass of the dark matter halo and the stellar mass suggests that the total mass of the Milky Way is significantly higher than just the stellar mass. The average ratio of dark matter mass to stellar mass for galaxies of similar size is about 30.
+
+3. **Total Mass Calculation**: Using the stellar mass of \(5 \times 10^{10}\) solar masses and the average ratio of dark matter to stellar mass, we can estimate the total mass of the Milky Way:
+   \[
+   M_{\text{total}} \approx M_{\text{stars}} + M_{\text{dark matter}} \approx M_{\text{stars}} + 30 \times M_{\text{stars}} = 31 \times M_{\text{stars}} \approx 31 \times 5 \times 10^{10} \approx 1.55 \times 10^{12} \text{ solar masses}.
+   \]
+
+4. **Additional Components**: Other components such as gas and dust also contribute to the total mass, but their contributions are generally included in the dark matter estimates.
+
+Based on this analysis, the total mass of the Milky Way galaxy is estimated to be around \(1.5 \times 10^{12}\) solar masses.
+
+Final Answer: The mass of the Milky Way galaxy is estimated to be approximately \(1.5 \times 10^{12}\) solar masses. This estimate includes contributions from stars, gas, dust, and a significant amount of dark matter, which is thought to be about 30 times the mass of the stars.
+
+> Finished chain.
+
+
+> Entering new AgentExecutor chain...
+To determine the mass of the Milky Way galaxy, I need to gather information about its estimated mass from reliable sources. This involves looking for data on the total mass, which includes stars, gas, dust, dark matter, and other components. 
+
+Action: Library
+Action Input: "mass of the Milky Way galaxy"
+To determine the mass of the Milky Way galaxy, I need to analyze the information from the papers I found in the library. The mass of the Milky Way includes contributions from stars, gas, dust, and dark matter. 
+
+1. **Stellar Mass**: One paper indicates that the stellar mass of the Milky Way is approximately \(5 \times 10^{10}\) solar masses.
+2. **Dark Matter**: Another paper suggests that the ratio of dark matter mass to stellar mass for galaxies like the Milky Way is about 30. This implies that the dark matter mass could be around \(30 \times 5 \times 10^{10} = 1.5 \times 10^{12}\) solar masses.
+3. **Total Mass**: Adding the stellar mass and the dark matter mass gives an estimated total mass of the Milky Way galaxy as \(5 \times 10^{10} + 1.5 \times 10^{12} \approx 1.55 \times 10^{12}\) solar masses.
+
+Now, I will summarize the findings to provide a clear answer.
+
+Final Answer: The estimated total mass of the Milky Way galaxy is approximately \(1.5 \times 10^{12}\) solar masses. This estimate includes about \(5 \times 10^{10}\) solar masses from stars and gas, and around \(1.5 \times 10^{12}\) solar masses from dark matter. The mass estimates can vary based on different models and methods used in the calculations, but this provides a reasonable approximation based on current understanding.
+
+> Finished chain.
+
+
+> Entering new AgentExecutor chain...
+To determine the mass of the Milky Way galaxy, I need to gather information about its estimated mass from reliable sources. This involves looking for data on the total mass, which includes stars, gas, dust, dark matter, and other components. 
+
+Action: Library
+Action Input: "mass of the Milky Way galaxy"
+To determine the mass of the Milky Way galaxy, I need to analyze the information gathered from the library regarding its total mass, which includes contributions from stars, gas, dust, and dark matter.
+
+1. **Stellar Mass**: The Milky Way's stellar mass is estimated to be around \(5 \times 10^{10}\) solar masses, as indicated in Paper 3.
+
+2. **Dark Matter**: The mass of the dark matter halo is typically much larger than the stellar mass. The ratio of dark matter mass to stellar mass for galaxies similar to the Milky Way is about 30, suggesting that the dark matter mass could be around \(1.5 \times 10^{12}\) solar masses.
+
+3. **Total Mass**: Combining the stellar mass and the dark matter mass gives a rough estimate of the total mass of the Milky Way. The total mass is often cited to be approximately \(1.5 \times 10^{12}\) solar masses, which includes both the baryonic (normal) matter and dark matter.
+
+4. **Additional Components**: The Milky Way also contains gas and dust, which contribute to its overall mass, but these components are generally much smaller compared to the stellar and dark matter contributions.
+
+Based on this analysis, I will summarize the findings.
+
+Final Answer: The mass of the Milky Way galaxy is estimated to be approximately \(1.5 \times 10^{12}\) solar masses. This estimate includes about \(5 \times 10^{10}\) solar masses from stars and a significantly larger contribution from dark matter, which is estimated to be around \(1.0 \times 10^{12}\) solar masses. The total mass also accounts for gas and dust, but these are relatively minor compared to the stellar and dark matter components.
+
+> Finished chain.
+
+
+> Entering new AgentExecutor chain...
+To determine the mass of the Milky Way galaxy, I need to gather information about its estimated mass from reliable sources. This involves looking for data on the total mass, which includes stars, gas, dust, dark matter, and other components. 
+
+Action: Library
+Action Input: "mass of the Milky Way galaxy"
+To determine the mass of the Milky Way galaxy, I need to analyze the information gathered from the library regarding its total mass, which includes contributions from stars, gas, dust, and dark matter.
+
+1. **Stellar Mass**: The Milky Way's stellar mass is estimated to be around \(5 \times 10^{10}\) solar masses, as indicated in Paper 3.
+
+2. **Dark Matter Contribution**: The mass of the dark matter halo is typically much larger than the stellar mass. The ratio of dark matter mass to stellar mass for galaxies like the Milky Way is about 30, suggesting that the dark matter mass could be around \(1.5 \times 10^{12}\) solar masses.
+
+3. **Total Mass Estimate**: Combining the stellar mass and the dark matter mass gives a rough estimate of the total mass of the Milky Way. The total mass is often cited to be approximately \(1.5 \times 10^{12}\) solar masses, which includes both the baryonic (normal) matter and the dark matter.
+
+4. **Additional Components**: The Milky Way also contains gas and dust, which contribute to its overall mass, but these components are relatively small compared to the dark matter.
+
+Based on the information from the library, I can conclude that the total mass of the Milky Way galaxy is approximately \(1.5 \times 10^{12}\) solar masses.
+
+Final Answer: The mass of the Milky Way galaxy is estimated to be around \(1.5 \times 10^{12}\) solar masses. This estimate includes contributions from stars, gas, dust, and a significant amount of dark matter, with the stellar mass alone being about \(5 \times 10^{10}\) solar masses. The dark matter component is crucial, as it is believed to be about 30 times the stellar mass, leading to the total mass estimate.
+
+> Finished chain.
+
+
+> Entering new AgentExecutor chain...
+To determine the mass of the Milky Way galaxy, I need to gather information about its estimated mass from reliable sources. This involves looking for data on the total mass, which includes stars, gas, dust, dark matter, and other components. 
+
+Action: Library
+Action Input: "mass of the Milky Way galaxy"
+To determine the mass of the Milky Way galaxy, I need to analyze the information gathered from the library regarding its total mass, which includes contributions from stars, gas, dust, and dark matter.
+
+1. **Stellar Mass**: One of the papers indicates that the stellar mass of the Milky Way is approximately \(5 \times 10^{10}\) solar masses.
+2. **Dark Matter**: The mass of the dark matter halo is typically estimated to be at least 30 times the stellar mass for galaxies of this size. This suggests that the dark matter mass could be around \(1.5 \times 10^{12}\) solar masses.
+3. **Total Mass**: Combining the stellar mass and the dark matter mass gives a rough estimate of the total mass of the Milky Way.
+
+Now, I will summarize the findings and calculate the total mass.
+
+Action: Library
+Action Input: "total mass of the Milky Way galaxy"
+To summarize the findings regarding the mass of the Milky Way galaxy:
+
+1. **Stellar Mass**: The stellar mass of the Milky Way is estimated to be approximately \(5 \times 10^{10}\) solar masses.
+2. **Dark Matter Mass**: The mass of the dark matter halo is typically estimated to be at least 30 times the stellar mass, leading to a dark matter mass of around \(1.5 \times 10^{12}\) solar masses.
+3. **Total Mass**: By combining the stellar mass and the dark matter mass, the total mass of the Milky Way galaxy can be estimated to be around \(2 \times 10^{12}\) solar masses.
+
+This estimate includes contributions from stars, gas, dust, and dark matter, with dark matter being the dominant component. The total mass can vary based on different models and methods of estimation, but the range provided is widely accepted in the astronomical community.
+
+Final Answer: The mass of the Milky Way galaxy is estimated to be approximately \(2 \times 10^{12}\) solar masses, which includes about \(5 \times 10^{10}\) solar masses from stars and a dark matter component estimated to be around \(1.5 \times 10^{12}\) solar masses. This estimate reflects the current understanding of the galaxy's composition and structure, though it may be refined with future observations and studies.
+
+> Finished chain.
+
+
+> Entering new AgentExecutor chain...
+To determine the mass of the Milky Way galaxy, I need to gather information about its estimated mass based on current astronomical research. This involves looking for data on the galaxy's total mass, which includes stars, gas, dust, dark matter, and other components.
+
+Action: Library
+Action Input: "mass of the Milky Way galaxy"
+To determine the mass of the Milky Way galaxy, I need to analyze the information gathered from the library regarding its total mass, which includes contributions from stars, gas, dust, and dark matter.
+
+1. **Stellar Mass**: The Milky Way's stellar mass is estimated to be around \(5 \times 10^{10}\) solar masses based on various studies.
+2. **Dark Matter**: The mass of the dark matter halo is typically much larger than the stellar mass. The ratio of dark matter mass to stellar mass for galaxies like the Milky Way is generally around 30, suggesting that the dark matter mass could be approximately \(1.5 \times 10^{12}\) solar masses.
+3. **Total Mass**: Combining the stellar mass and the dark matter mass gives a rough estimate of the total mass of the Milky Way galaxy.
+
+Now, I will summarize the findings from the observations to provide a comprehensive answer.
+
+Action: Library
+Action Input: "total mass of the Milky Way galaxy"
+I have gathered sufficient information to estimate the mass of the Milky Way galaxy. 
+
+1. **Stellar Mass**: The Milky Way's stellar mass is approximately \(5 \times 10^{10}\) solar masses.
+2. **Dark Matter Mass**: The dark matter halo is estimated to be about 30 times the stellar mass, leading to a dark matter mass of roughly \(1.5 \times 10^{12}\) solar masses.
+3. **Total Mass**: By combining the stellar mass and the dark matter mass, the total mass of the Milky Way galaxy is estimated to be around \(2 \times 10^{12}\) solar masses.
+
+This estimate includes contributions from stars, gas, dust, and dark matter, with dark matter being the dominant component. The total mass can vary based on different models and methods used to estimate the mass distribution, but the range provided is widely accepted in the astronomical community.
+
+Final Answer: The mass of the Milky Way galaxy is estimated to be approximately \(2 \times 10^{12}\) solar masses, which includes about \(5 \times 10^{10}\) solar masses from stars and around \(1.5 \times 10^{12}\) solar masses from dark matter. This estimate reflects the current understanding based on various studies and models in astrophysics.
+
+> Finished chain.
+
+
+> Entering new AgentExecutor chain...
+To determine the mass of the Milky Way galaxy, I need to gather information about its estimated mass from reliable sources. This involves looking for data on the total mass, which includes stars, gas, dust, dark matter, and other components.
+
+Action: Library
+Action Input: "mass of the Milky Way galaxy"
+To determine the mass of the Milky Way galaxy, I need to analyze the information gathered from the library regarding its total mass, which includes contributions from stars, gas, dust, and dark matter.
+
+1. **Stellar Mass**: The Milky Way's stellar mass is estimated to be around \(5 \times 10^{10}\) solar masses, as indicated in one of the papers.
+
+2. **Dark Matter Contribution**: The mass of the dark matter halo is typically much larger than the stellar mass. The ratio of dark matter mass to stellar mass for galaxies similar to the Milky Way is about 30. This suggests that the dark matter mass could be approximately \(1.5 \times 10^{12}\) solar masses.
+
+3. **Total Mass Estimate**: Combining the stellar mass and the dark matter mass gives a rough estimate of the total mass of the Milky Way. The total mass is often cited to be around \(1.5 \times 10^{12}\) solar masses, which includes both the baryonic (stars, gas, dust) and dark matter components.
+
+4. **Additional Components**: The Milky Way also contains a significant amount of gas and dust, which contributes to its overall mass but is generally a smaller fraction compared to dark matter.
+
+Based on this breakdown, I can conclude that the total mass of the Milky Way galaxy is approximately \(1.5 \times 10^{12}\) solar masses, with the majority being dark matter.
+
+Final Answer: The mass of the Milky Way galaxy is estimated to be around \(1.5 \times 10^{12}\) solar masses. This estimate includes contributions from stars, gas, dust, and a significant amount of dark matter, with the stellar mass alone being about \(5 \times 10^{10}\) solar masses. The dark matter component is crucial in determining the total mass, as it is typically much larger than the baryonic mass.
+
+> Finished chain.
+
+
+> Entering new AgentExecutor chain...
+To determine the mass of the Milky Way galaxy, I need to gather information about its estimated mass from reliable sources. This involves looking for data on the total mass, which includes stars, gas, dust, dark matter, and other components. 
+
+Action: Library
+Action Input: "mass of the Milky Way galaxy"
+To determine the mass of the Milky Way galaxy, I need to analyze the information gathered from the library regarding its total mass, which includes contributions from stars, gas, dust, and dark matter.
+
+1. **Stellar Mass**: One of the papers indicates that the stellar mass of the Milky Way is approximately \(5 \times 10^{10}\) solar masses.
+
+2. **Dark Matter Contribution**: The relationship between the mass of the dark matter halo and the stellar mass suggests that the total mass of the Milky Way is significantly higher than just the stellar mass. The average ratio of dark matter mass to stellar mass for galaxies of similar size is about 30.
+
+3. **Total Mass Calculation**: Using the stellar mass of \(5 \times 10^{10}\) solar masses and the average ratio of dark matter to stellar mass, we can estimate the total mass of the Milky Way:
+   \[
+   M_{\text{total}} \approx M_{\text{stars}} + M_{\text{dark matter}} \approx M_{\text{stars}} + 30 \times M_{\text{stars}} = 31 \times M_{\text{stars}} \approx 31 \times 5 \times 10^{10} \approx 1.55 \times 10^{12} \text{ solar masses}.
+   \]
+
+4. **Additional Components**: Other components such as gas and dust also contribute to the total mass, but their contributions are generally included in the dark matter estimates.
+
+Based on this analysis, the total mass of the Milky Way galaxy is estimated to be around \(1.5 \times 10^{12}\) solar masses.
+
+Final Answer: The mass of the Milky Way galaxy is estimated to be approximately \(1.5 \times 10^{12}\) solar masses. This estimate includes contributions from stars, gas, dust, and dark matter, with the stellar mass being about \(5 \times 10^{10}\) solar masses and the dark matter mass being roughly 30 times that of the stars.
+
+> Finished chain.
+
+
+> Entering new AgentExecutor chain...
+To determine the mass of the Milky Way galaxy, I need to gather information about its estimated mass from reliable sources. This involves looking for data on the total mass, which includes stars, gas, dust, dark matter, and other components. 
+
+Action: Library
+Action Input: "mass of the Milky Way galaxy"
+To determine the mass of the Milky Way galaxy, I need to analyze the information gathered from the library regarding its total mass, which includes contributions from stars, gas, dust, and dark matter.
+
+1. **Stellar Mass**: The Milky Way's stellar mass is estimated to be around \(5 \times 10^{10}\) solar masses, as indicated in Paper 3.
+
+2. **Dark Matter**: The mass of the dark matter halo is typically much larger than the stellar mass. The ratio of dark matter mass to stellar mass for galaxies similar to the Milky Way is about 30, suggesting that the dark matter mass could be around \(1.5 \times 10^{12}\) solar masses.
+
+3. **Total Mass Estimate**: Combining the stellar mass and the dark matter mass gives a rough estimate of the total mass of the Milky Way. The total mass is often cited to be approximately \(1.5 \times 10^{12}\) solar masses, which includes both the baryonic (normal) matter and dark matter.
+
+4. **Additional Components**: The Milky Way also contains gas and dust, which contribute to its overall mass, but these components are relatively small compared to the dark matter.
+
+Based on this breakdown, I will summarize the findings.
+
+Final Answer: The mass of the Milky Way galaxy is estimated to be approximately \(1.5 \times 10^{12}\) solar masses. This estimate includes about \(5 \times 10^{10}\) solar masses from stars and a significantly larger contribution from dark matter, which is estimated to be around \(1.0 \times 10^{12}\) solar masses. The total mass also accounts for gas and dust, but these contributions are minor compared to the dark matter.
+
+> Finished chain.
+
+
+> Entering new AgentExecutor chain...
+To determine the mass of the Milky Way galaxy, I need to gather information about its estimated mass from reliable sources. This involves looking for data on the total mass, which includes stars, gas, dust, dark matter, and other components. 
+
+Action: Library
+Action Input: "mass of the Milky Way galaxy"
+To determine the mass of the Milky Way galaxy, I need to analyze the information gathered from the library regarding its total mass, which includes contributions from stars, gas, dust, and dark matter.
+
+1. **Stellar Mass**: One of the papers indicates that the stellar mass of the Milky Way is approximately \(5 \times 10^{10}\) solar masses.
+2. **Dark Matter**: The same paper suggests that the average ratio of dark matter mass to stellar mass for galaxies like the Milky Way is about 30. This implies that the dark matter mass could be estimated as:
+   \[
+   M_{\text{dark matter}} \approx 30 \times M_{\text{stars}} \approx 30 \times 5 \times 10^{10} \approx 1.5 \times 10^{12} \text{ solar masses}
+   \]
+3. **Total Mass**: The total mass of the Milky Way can be approximated by adding the stellar mass and the dark matter mass:
+   \[
+   M_{\text{total}} \approx M_{\text{stars}} + M_{\text{dark matter}} \approx 5 \times 10^{10} + 1.5 \times 10^{12} \approx 1.55 \times 10^{12} \text{ solar masses}
+   \]
+
+Now, I will summarize the findings and confirm the total mass estimate.
+
+Final Answer: The estimated total mass of the Milky Way galaxy is approximately \(1.5 \times 10^{12}\) solar masses. This estimate includes about \(5 \times 10^{10}\) solar masses from stars and around \(1.5 \times 10^{12}\) solar masses from dark matter, based on the average mass ratio observed in similar galaxies. There may be uncertainties in these values due to variations in the dark matter-stellar mass relationship and the complexities of galactic dynamics.
+
+> Finished chain.
+
+
+> Entering new AgentExecutor chain...
+To determine the mass of the Milky Way galaxy, I need to gather information about its estimated mass from reliable sources. This involves looking for data on the total mass, which includes stars, gas, dust, dark matter, and other components. 
+
+Action: Library
+Action Input: "mass of the Milky Way galaxy"
+To determine the mass of the Milky Way galaxy, I need to analyze the information gathered from the library regarding its total mass, which includes contributions from stars, gas, dust, and dark matter.
+
+1. **Stellar Mass**: One of the papers indicates that the stellar mass of the Milky Way is approximately \(5 \times 10^{10}\) solar masses.
+
+2. **Dark Matter Contribution**: The relationship between the mass of the dark matter halo and the stellar mass suggests that the total mass of the Milky Way is significantly higher than just the stellar mass. The average ratio of dark matter mass to stellar mass for galaxies of similar size is about 30. This implies that the dark matter mass could be around \(1.5 \times 10^{12}\) solar masses.
+
+3. **Total Mass Estimate**: Combining the stellar mass and the dark matter mass, the total mass of the Milky Way galaxy is estimated to be around \(1.5 \times 10^{12}\) solar masses.
+
+4. **Other Components**: Additional components such as gas and dust also contribute to the total mass, but their contributions are generally included in the dark matter estimates.
+
+Based on this analysis, I will summarize the findings.
+
+Final Answer: The mass of the Milky Way galaxy is estimated to be approximately \(1.5 \times 10^{12}\) solar masses. This estimate includes the stellar mass of about \(5 \times 10^{10}\) solar masses and a significant contribution from dark matter, which is thought to be around 30 times the stellar mass. This total mass encompasses all components of the galaxy, including stars, gas, dust, and dark matter.
+
+> Finished chain.
+
+
+> Entering new AgentExecutor chain...
+To determine the mass of the Milky Way galaxy, I need to gather information about its estimated mass from reliable sources. This involves looking for data on the total mass, which includes stars, gas, dust, dark matter, and other components.
+
+Action: Library
+Action Input: "mass of the Milky Way galaxy"
+To determine the mass of the Milky Way galaxy, I need to analyze the information gathered from the library regarding its total mass, which includes contributions from stars, gas, dust, and dark matter.
+
+1. **Stellar Mass**: One of the papers indicates that the stellar mass of the Milky Way is approximately \(5 \times 10^{10}\) solar masses.
+2. **Dark Matter**: The mass of the dark matter halo is typically estimated to be at least 30 times the stellar mass for galaxies of this size. This suggests that the dark matter mass could be around \(1.5 \times 10^{12}\) solar masses.
+3. **Total Mass**: Combining the stellar mass and the dark matter mass gives a rough estimate of the total mass of the Milky Way galaxy.
+
+Now, I will summarize the findings and calculate the total mass.
+
+Action: Library
+Action Input: "total mass of the Milky Way galaxy"
+To summarize the findings regarding the mass of the Milky Way galaxy:
+
+1. **Stellar Mass**: The stellar mass of the Milky Way is estimated to be approximately \(5 \times 10^{10}\) solar masses.
+2. **Dark Matter Mass**: The mass of the dark matter halo is typically estimated to be at least 30 times the stellar mass, leading to an estimated dark matter mass of around \(1.5 \times 10^{12}\) solar masses.
+3. **Total Mass**: By combining the stellar mass and the dark matter mass, the total mass of the Milky Way galaxy can be approximated as:
+   \[
+   \text{Total Mass} \approx \text{Stellar Mass} + \text{Dark Matter Mass} \approx 5 \times 10^{10} + 1.5 \times 10^{12} \approx 1.55 \times 10^{12} \text{ solar masses}
+   \]
+
+Thus, the total mass of the Milky Way galaxy is estimated to be around \(1.5 \times 10^{12}\) solar masses, which includes contributions from stars, gas, dust, and dark matter.
+
+Final Answer: The mass of the Milky Way galaxy is estimated to be approximately \(1.5 \times 10^{12}\) solar masses, primarily composed of about \(5 \times 10^{10}\) solar masses of stars and a dark matter halo estimated to be around \(1.5 \times 10^{12}\) solar masses. This estimate is based on the relationship between stellar mass and dark matter mass in galaxies of similar size.
+
+> Finished chain.
+
+
+> Entering new AgentExecutor chain...
+To answer the question about how galaxy star formation histories (SFHs) are affected by feedback, I need to gather information on the relationship between star formation and feedback processes in galaxies. Feedback can come from various sources, such as supernovae, stellar winds, and active galactic nuclei (AGN). I will look for relevant literature that discusses these interactions.
+
+Action: Library
+Action Input: "galaxy star formation history feedback effects"I have gathered relevant information from several papers regarding how feedback processes affect galaxy star formation histories (SFHs). Feedback mechanisms, such as those from supernovae, stellar winds, and active galactic nuclei, play a crucial role in regulating star formation within galaxies. 
+
+1. **Feedback Regulation**: Feedback from young stars can lead to oscillatory cycles in star formation, particularly in galactic nuclei. When a critical surface density of young stars is reached, feedback can expel gas, leading to a quenching of star formation. However, this expelled gas can eventually return to the galaxy, creating a cyclical pattern of star formation (Paper 1).
+
+2. **Star Cluster Formation**: In early galaxies, high-density gas clouds can lead to efficient star formation, influenced by feedback mechanisms. The survival and formation of star clusters are also affected by the star formation efficiency (SFE), which is regulated by feedback processes (Paper 2).
+
+3. **Mergers and Starbursts**: Major mergers can trigger starbursts, which are rapid episodes of star formation. The timing of these starbursts is crucial and typically occurs after the formation of a galactic disc. This indicates that the response of galaxies to mergers and the resulting star formation activity can vary significantly over cosmic time (Papers 3 and 4).
+
+4. **Energy and Momentum from Feedback**: Stellar feedback contributes to the energy and momentum budget in star-forming regions, affecting the interstellar medium (ISM). Efficient feedback can lead to self-regulation of star formation, but the specific impact depends on the feedback implementation (Paper 6).
+
+5. **Hierarchical Formation**: Interactions between galaxies can destabilize gas and trigger starbursts, particularly in massive galaxies at high redshifts. This process can accelerate star formation in these galaxies without significantly affecting low-mass halos (Paper 7).
+
+In summary, feedback processes are integral to shaping the star formation histories of galaxies. They can lead to episodic star formation, regulate the efficiency of star formation, and influence the overall evolution of galaxies through mechanisms such as gas expulsion and starburst events triggered by mergers.
+
+Final Answer: Galaxy star formation histories (SFHs) are significantly affected by feedback processes from stars and supernovae, which regulate star formation rates, trigger episodic bursts of star formation, and influence the dynamics of the interstellar medium. Feedback can lead to oscillatory star formation cycles, particularly in galactic nuclei, and is crucial in determining the efficiency of star formation in different environments. The interplay between feedback and star formation is complex and varies across different cosmic epochs and galaxy types.
+
+> Finished chain.
+
+
+> Entering new AgentExecutor chain...
+To answer the question about how galaxy star formation histories (SFHs) are affected by feedback, I need to gather information on the relationship between star formation and feedback processes in galaxies. Feedback can come from various sources, such as supernovae, stellar winds, and active galactic nuclei (AGN). I will look for relevant literature that discusses these interactions.
+
+Action: Library
+Action Input: "galaxy star formation history feedback effects"I have gathered relevant information from several papers regarding how feedback processes affect galaxy star formation histories (SFHs). Feedback mechanisms, such as those from supernovae, stellar winds, and active galactic nuclei, play a crucial role in regulating star formation within galaxies. 
+
+1. **Feedback Regulation**: Feedback from young stars can lead to oscillatory cycles in star formation, particularly in galactic nuclei. When a critical surface density of young stars is reached, feedback can expel gas, leading to a quenching of star formation. However, this expelled gas can eventually return to the galaxy, creating a cyclical pattern of star formation (Paper 1).
+
+2. **Star Cluster Formation**: In early galaxies, high-density gas clouds can lead to efficient star formation, influenced by feedback processes. The survival and formation of star clusters are also affected by the star formation efficiency (SFE), which is regulated by feedback (Paper 2).
+
+3. **Mergers and Starbursts**: Major mergers can trigger starbursts, which are rapid episodes of star formation. The timing of these starbursts is crucial and typically occurs after the formation of a galactic disc, indicating that feedback mechanisms are closely tied to the evolutionary state of the galaxy (Papers 3 and 4).
+
+4. **Energy and Momentum from Feedback**: Stellar feedback contributes to the energy and momentum budget in star-forming regions, affecting the interstellar medium (ISM). Efficient feedback can lead to self-regulation of star formation, but the specific impact varies based on the feedback implementation (Paper 6).
+
+5. **Hierarchical Formation**: Interactions between galaxies can destabilize gas and trigger starbursts, particularly in massive galaxies at high redshifts. This process can accelerate star formation without significantly affecting low-mass galaxies (Paper 7).
+
+In summary, feedback processes significantly influence galaxy SFHs by regulating star formation rates, triggering starbursts during mergers, and affecting the dynamics of the ISM. The interplay between feedback and star formation is complex and varies with the evolutionary context of the galaxy.
+
+Final Answer: Galaxy star formation histories (SFHs) are significantly affected by feedback processes, which regulate star formation rates, trigger starbursts during mergers, and influence the dynamics of the interstellar medium. Feedback mechanisms can lead to oscillatory star formation cycles, efficient star cluster formation, and self-regulation of star formation efficiency, depending on the specific conditions and evolutionary state of the galaxy.
+
+> Finished chain.
+
+
+> Entering new AgentExecutor chain...
+To answer this question, I need to understand the distribution of high redshift galaxies in different environments, specifically in galaxy clusters versus blank fields. This involves concepts related to galaxy formation, evolution, and the effects of gravitational interactions in dense environments. 
+
+Action: Library
+Action Input: "high redshift galaxies in clusters vs blank fields"
+To understand why we see fewer high redshift galaxies in clusters compared to blank fields, I need to analyze the environmental effects on galaxy formation and evolution, particularly in dense environments like clusters versus more isolated regions.
+
+1. **Environmental Effects**: Galaxies in clusters are subject to different physical processes than those in the field. In dense environments, interactions such as gravitational forces, ram pressure stripping, and tidal interactions can suppress star formation. This is supported by findings that show a lower fraction of star-forming galaxies in cluster cores compared to field galaxies.
+
+2. **Star Formation Rates**: Studies indicate that the star formation rates in cluster galaxies are significantly lower than in field galaxies. For instance, one paper noted that only about 20% of galaxies in cluster cores exhibit strong [OII] emission, a common indicator of star formation, while field galaxies show a much higher rate of star formation.
+
+3. **Morphological Differences**: The morphology of galaxies also plays a role. Clusters tend to have a higher proportion of early-type galaxies, which are typically less active in star formation compared to spiral galaxies found in the field. This morphological segregation suggests that the environment of clusters leads to a different evolutionary path for galaxies.
+
+4. **Redshift Considerations**: At high redshifts, the processes that lead to galaxy formation and evolution are still ongoing, and the differences in environments become more pronounced. Clusters may not have had enough time to form a significant number of high redshift galaxies compared to the more diverse environments found in blank fields.
+
+5. **Observational Bias**: There may also be observational biases at play. The methods used to detect and classify galaxies can vary between cluster and field studies, potentially leading to discrepancies in the observed populations.
+
+Based on these considerations, I will summarize the findings from the library to provide a comprehensive answer.
+
+Action: Library
+Action Input: "high redshift galaxies clusters environment effects"
+I have gathered sufficient information to answer the question regarding the observation of fewer high redshift galaxies in clusters compared to blank fields.
+
+Final Answer: The reduced number of high redshift galaxies observed in clusters compared to blank fields can be attributed to several key factors related to environmental effects on galaxy formation and evolution:
+
+1. **Environmental Suppression of Star Formation**: Galaxies in dense environments like clusters experience various physical processes that can inhibit star formation. For instance, studies have shown that only about 20% of galaxies in cluster cores exhibit strong [OII] emission, a marker of star formation, compared to a significantly higher fraction in field galaxies. This suggests that the cluster environment is less conducive to star formation.
+
+2. **Morphological Differences**: Clusters tend to have a higher proportion of early-type galaxies, which are generally less active in star formation compared to the spiral galaxies more commonly found in the field. This morphological segregation indicates that the evolutionary paths of galaxies in clusters differ from those in less dense environments.
+
+3. **Dynamic Interactions**: The gravitational interactions and processes such as ram pressure stripping in clusters can lead to the removal of gas from galaxies, further suppressing their ability to form new stars. This is particularly relevant for high redshift galaxies, which are still in the process of forming and evolving.
+
+4. **Redshift Evolution**: At higher redshifts, the processes of galaxy formation are still ongoing, and the differences in environments become more pronounced. Clusters may not have had enough time to accumulate a significant number of high redshift galaxies compared to the more diverse environments found in blank fields.
+
+5. **Observational Bias**: There may also be biases in the methods used to detect and classify galaxies in clusters versus fields, which could lead to discrepancies in the observed populations.
+
+In summary, the combination of environmental suppression of star formation, morphological differences, dynamic interactions, and potential observational biases contributes to the observed scarcity of high redshift galaxies in clusters compared to blank fields.
+
+> Finished chain.
+
+
+> Entering new AgentExecutor chain...
+To answer this question, I need to understand the relationship between galaxy clusters, redshift, and the observational biases that might affect the visibility of high redshift galaxies in different environments. I will look for information on the distribution of galaxies in cluster fields versus blank fields and the implications of redshift on galaxy visibility.
+
+Action: Library
+Action Input: "high redshift galaxies in cluster fields vs blank fields"
+To understand why we see fewer high redshift galaxies in cluster fields compared to blank fields, we need to consider several factors, including the environment of galaxy clusters, the processes affecting galaxy evolution, and observational biases.
+
+1. **Environmental Effects**: Galaxies in dense environments, such as clusters, often experience different evolutionary processes compared to those in the field. For instance, studies have shown that galaxies in clusters can have enhanced passive fractions and may undergo processes like ram-pressure stripping, which can suppress star formation (Observation from Paper 3). This can lead to a higher proportion of red, passive galaxies in clusters, which are less likely to be high redshift star-forming galaxies.
+
+2. **Selection Bias**: Observational biases may also play a role. In cluster fields, the presence of many bright galaxies can make it more challenging to detect fainter, high redshift galaxies. The light from these bright galaxies can outshine the fainter ones, leading to a lower observed number of high redshift galaxies in these environments (Observation from Paper 4).
+
+3. **Galaxy Properties**: The properties of galaxies in clusters can differ significantly from those in the field. For example, in a study of a protocluster at z = 1.6, it was found that a significant fraction of galaxies in dense environments were red and passive, while field galaxies showed a more diverse range of star formation activities (Observation from Paper 1). This suggests that the types of galaxies we observe in clusters may not be representative of the broader population of high redshift galaxies.
+
+4. **Evolutionary History**: The evolutionary history of galaxies in clusters may lead to a different distribution of galaxy types compared to the field. Clusters can accelerate the formation of certain types of galaxies, leading to a dominance of older, more evolved galaxies in these environments (Observation from Paper 3).
+
+In summary, the combination of environmental effects, selection biases, and the distinct evolutionary pathways of galaxies in clusters versus the field contributes to the observed scarcity of high redshift galaxies in cluster fields.
+
+Final Answer: We see fewer high redshift galaxies in cluster fields compared to blank fields primarily due to environmental effects that suppress star formation in clusters, observational biases that make it harder to detect fainter galaxies in dense environments, and the different evolutionary histories of galaxies in clusters versus the field. Studies indicate that galaxies in clusters tend to be more passive and red, while field galaxies exhibit a wider range of star formation activities.
+
+> Finished chain.
+
+
+> Entering new AgentExecutor chain...
+To answer this question, I need to understand the concepts of gravitational lensing, redshift, and the distribution of galaxies in different fields. I will look for information that explains the relationship between gravitational lensing and the visibility of high redshift galaxies.
+
+Action: Library
+Action Input: "gravitational lensing high redshift galaxies visibility comparison blank fields"
+To understand why we see fewer high redshift galaxies in gravitationally lensed fields compared to blank fields, we need to consider several factors related to gravitational lensing, the nature of high redshift galaxies, and observational biases.
+
+1. **Gravitational Lensing**: Gravitational lensing occurs when a massive object (like a galaxy or cluster of galaxies) bends the light from more distant objects. This can create multiple images of the same distant galaxy, magnifying its brightness and making it easier to detect.
+
+2. **High Redshift Galaxies**: High redshift galaxies are those that are very far away, and thus their light has taken a long time to reach us. They are often faint and can be difficult to observe directly.
+
+3. **Field Selection**: In gravitationally lensed fields, the presence of a foreground lensing galaxy can introduce biases in the types of background galaxies that are detected. The lensing effect can preferentially magnify certain regions of the background sky, potentially missing other high redshift galaxies that are not aligned with the lensing mass.
+
+4. **Observational Biases**: The selection of fields for study can also affect the number of high redshift galaxies observed. Blank fields may provide a more uniform sampling of the background galaxy population, while lensed fields may be biased towards brighter, more massive galaxies that are more likely to be lensed.
+
+5. **Density of Galaxies**: The density of galaxies in a lensed field can also play a role. If the lensed field is in a region with a high density of foreground galaxies, it may obscure or outshine some of the high redshift galaxies, making them harder to detect.
+
+Given these considerations, the combination of lensing effects, observational biases, and the nature of high redshift galaxies likely contributes to the observed phenomenon of fewer high redshift galaxies in gravitationally lensed fields compared to blank fields.
+
+Final Answer: We see fewer high redshift galaxies in gravitationally lensed fields compared to blank fields due to the effects of gravitational lensing, which can preferentially magnify certain regions and introduce observational biases. The presence of foreground galaxies can obscure or outshine distant high redshift galaxies, making them harder to detect. In contrast, blank fields may provide a more uniform sampling of the background galaxy population, allowing for the detection of more high redshift galaxies.
+
+> Finished chain.

app.py

@@ -14,28 +14,21 @@ from collections import Counter
 import yaml, json, requests, sys, os, time
 import concurrent.futures
 
-from langchain_community.chat_models import ChatOpenAI as openai_llm
+from langchain import hub
+from langchain_openai import ChatOpenAI as openai_llm
 from langchain_core.runnables import RunnableConfig
 from langchain_community.callbacks import StreamlitCallbackHandler
 
-from langchain.agents import ZeroShotAgent, Tool, AgentExecutor
+from langchain.agents import create_react_agent, Tool, AgentExecutor
 from langchain_community.utilities import DuckDuckGoSearchAPIWrapper
-from langchain.chains import LLMChain
 
-import subprocess
-
-@st.cache_resource
-def download_en_core_web_sm():
-    subprocess.run(["python", "-m", "spacy", "download", "en_core_web_sm"])
 
 ts = time.time()
 
 
-anthropic_key = "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"
-# anthropic_client = anthropic.Anthropic(api_key=anthropic_key)
+anthropic_key = st.secrets["anthropic_key"]
 
-openai_key = "sk-None-TMT98W6ksCIYY6w0UI66T3BlbkFJva1LamMQXbenkcnYqvs6"
-# openai_client = EmbeddingClient(OpenAI(api_key=openai_key))
+openai_key = st.secrets["openai_key"]
 
 from nltk.corpus import stopwords
 import nltk
@@ -59,7 +52,10 @@ except:
 
 from bokeh.plotting import figure
 from bokeh.models import ColumnDataSource
-from bokeh.palettes import Spectral10
+from bokeh.io import output_notebook
+from bokeh.palettes import Spectral5
+from bokeh.transform import linear_cmap
+
 
 st.image('local_files/pathfinder_logo.png')
 
@@ -122,7 +118,6 @@ if 'ids' not in st.session_state:
    
 #---------------------------------------------------------------
 
-
 # A hack to "clear" the previous result when submitting a new prompt. This avoids
 # the "previous run's text is grayed-out but visible during rerun" Streamlit behavior.
 class DirtyState:
@@ -130,15 +125,12 @@ class DirtyState:
     DIRTY = "DIRTY"
     UNHANDLED_SUBMIT = "UNHANDLED_SUBMIT"
 
-
 def get_dirty_state() -> str:
     return st.session_state.get("dirty_state", DirtyState.NOT_DIRTY)
 
-
 def set_dirty_state(state: str) -> None:
     st.session_state["dirty_state"] = state
 
-
 def with_clear_container(submit_clicked: bool) -> bool:
     if get_dirty_state() == DirtyState.DIRTY:
         if submit_clicked:
@@ -571,8 +563,6 @@ if 'ec' not in st.session_state:
 else:
     ec = st.session_state.ec
     
-    
-    
 # Function to simulate question answering (replace with actual implementation)
 def answer_question(question, top_k, keywords, toggles, method, question_type):
     # Simulated answer (replace with actual logic)
@@ -595,18 +585,42 @@ def get_papers(ids):
     })
 
 
-# Function to create embedding plot (replace with actual implementation)
-def create_embedding_plot():
-    # Simulated embedding data (replace with actual embedding calculation)
-    source = ColumnDataSource(data=dict(
-        x=[1, 2, 3, 4, 5],
-        y=[6, 7, 2, 4, 5],
-        colors=Spectral10[0:5],
-        labels=['A', 'B', 'C', 'D', 'E']
+
+def create_embedding_plot(rs):
+
+
+    pltsource = ColumnDataSource(data=dict(
+        x=st.session_state.arxiv_corpus['umap_x'],
+        y=st.session_state.arxiv_corpus['umap_y'],
+        title=st.session_state.titles,
+        link=st.session_state.arxiv_corpus['bibcode'],
     ))
+        
+    rsflag = np.zeros((len(st.session_state.ids),))
+    rsflag[np.array([k for k in rs])] = 1
+    pltsource.data['colors'] = rsflag * 0.8 + 0.1
+    pltsource.data['sizes'] = (rsflag + 1)**5 / 100
+
+    TOOLTIPS = """
+    <div style="width:300px;">
+    ID: $index
+    ($x, $y)
+    @title <br>
+    @link <br> <br>
+    </div>
+    """
+    
+    mapper = linear_cmap(field_name="colors", palette=Spectral5, low=0., high=1.)
+
+    p = figure(width=700, height=900, tooltips=TOOLTIPS, x_range=(0, 20), y_range=(-4.2,18),
+            title="UMAP projection of embeddings for the astro-ph corpus")
+    
+    p.axis.visible=False
+    p.grid.visible=False
+    p.outline_line_alpha = 0.
+    
+    p.circle('x', 'y', radius='sizes', source=pltsource, alpha=0.3, fill_color=mapper, fill_alpha='colors', line_color="lightgrey",line_alpha=0.1)
     
-    p = figure(width=400, height=400, title="Embedding Map")
-    p.circle('x', 'y', size=20, source=source, color='colors', alpha=0.6)
     return p
 
 # Function to simulate keyword extraction (replace with actual implementation)
@@ -629,15 +643,13 @@ def run_ret(query, top_k):
             output_str = output_str + st.session_state.abstracts[i] + '(score: %.2f) \n' %rs[i]
     return output_str, rs
 
-def Library(query, top_k=3):
-    print('get called start')
+def Library(query, top_k=7):
     rs = ec.retrieve(query, top_k, return_scores=True)
     op_docs = ''
-    for i in rs:
+    for paperno, i in enumerate(rs):
         # op_docs.append(abstracts[i])
-        op_docs = op_docs + st.session_state.abstracts[i] + '\n\n' 
+        op_docs = op_docs + 'Paper %.0f:' %(paperno+1) +' (published in '+st.session_state.arxiv_corpus['bibcode'][i][0:4] + ') ' + st.session_state.titles[i]  + '\n' + st.session_state.abstracts[i] + '\n\n' 
     # st.write(op_docs)
-    print('get called end')
     return op_docs
 
 search = DuckDuckGoSearchAPIWrapper()
@@ -663,36 +675,54 @@ if 'tools' not in st.session_state:
 
 gen_llm = openai_llm(temperature=0,model_name='gpt-4o-mini', openai_api_key = openai_key)
 
-prefix = """You are an expert astronomer and cosmologist. 
+template = """You are an expert astronomer and cosmologist. 
 Answer the following question as best you can using information from the library, but speaking in a concise and factual manner. 
 If you can not come up with an answer, say you do not know. 
 Try to break the question down into smaller steps and solve it in a logical manner. 
 
-You have access to the following tools:"""
-suffix = """Begin! Remember to speak in a pedagogical and factual manner."
+You have access to the following tools:
+
+{tools}
+
+Use the following format:
+
+Question: the input question you must answer
+Thought: you should always think about what to do
+Action: the action to take, should be one of [{tool_names}]
+Action Input: the input to the action
+Observation: the result of the action
+... (this Thought/Action/Action Input/Observation can repeat N times)
+Thought: I now know the final answer
+Final Answer: the final answer to the original input question. provide information about how you arrived at the answer, and any nuances or uncertainties the reader should be aware of
+
+Begin! Remember to speak in a pedagogical and factual manner."
 
 Question: {input}
-{agent_scratchpad}"""
+Thought:{agent_scratchpad}"""
+
 
-prompt = ZeroShotAgent.create_prompt(
-    st.session_state.tools, prefix=prefix, suffix=suffix, input_variables=["input", "agent_scratchpad"]
-)
+prompt = hub.pull("hwchase17/react")
+prompt.template=template
 
-llm_chain = LLMChain(llm=gen_llm, prompt=prompt)
+from langchain.callbacks import FileCallbackHandler
+from langchain.callbacks.manager import CallbackManager
+# timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
+# file_path = f"agent_trace_{timestamp}.txt"
+file_path = "agent_trace.txt"
+file_handler = FileCallbackHandler(file_path)
+callback_manager=CallbackManager([file_handler])
 
 tool_names = [tool.name for tool in st.session_state.tools]
 if 'agent' not in st.session_state:
-    agent = ZeroShotAgent(llm_chain=llm_chain, allowed_tools=tool_names)
+    # agent = ZeroShotAgent(llm_chain=llm_chain, allowed_tools=tool_names)
+    agent = create_react_agent(llm=gen_llm, tools=tools, prompt=prompt)
     st.session_state.agent = agent
 
 if 'agent_executor' not in st.session_state:
-    agent_executor = AgentExecutor.from_agent_and_tools(
-        agent=st.session_state.agent, tools=st.session_state.tools, verbose=True, handle_parsing_errors=True
-    )
+    agent_executor = AgentExecutor(agent=st.session_state.agent, tools=st.session_state.tools, verbose=True, handle_parsing_errors=True, callbacks=CallbackManager([file_handler]))
     st.session_state.agent_executor = agent_executor
 
 
-
 # Streamlit app
 def main():
     
@@ -701,13 +731,13 @@ def main():
     
     # Sidebar (Inputs)
     st.sidebar.header("Fine-tune the search")
-    top_k = st.sidebar.slider("Number of papers to retrieve:", 3, 100, 10)
+    top_k = st.sidebar.slider("Number of papers to retrieve:", 3, 30, 10)
     extra_keywords = st.sidebar.text_input("Enter extra keywords (comma-separated):")
     
     st.sidebar.subheader("Toggles")
-    toggle_a = st.sidebar.checkbox("Toggle A")
-    toggle_b = st.sidebar.checkbox("Toggle B")
-    toggle_c = st.sidebar.checkbox("Toggle C")
+    toggle_a = st.sidebar.checkbox("Weight by keywords")
+    toggle_b = st.sidebar.checkbox("weight by time")
+    toggle_c = st.sidebar.checkbox("Weight by citations")
     
     method = st.sidebar.radio("Choose a method:", ["Semantic search", "Semantic search + HyDE", "Semantic search + HyDE + CoHERE"])
     question_type = st.sidebar.selectbox("Select question type:", ["Single paper", "Multi-paper", "Summary"])
@@ -722,43 +752,38 @@ def main():
     submit_button = st.button("Submit")
     
     if submit_button:
+        
         # Process inputs
         keywords = [kw.strip() for kw in extra_keywords.split(',')] if extra_keywords else []
-        toggles = {'A': toggle_a, 'B': toggle_b, 'C': toggle_c}
+        toggles = {'Keyword weighting': toggle_a, 'Time weighting': toggle_b, 'Citation weighting': toggle_c}
 
         # Generate outputs
         answer, rs = answer_question(query, top_k, keywords, toggles, method, question_type)
         papers_df = get_papers(rs)
-        embedding_plot = create_embedding_plot()
+        embedding_plot = create_embedding_plot(rs)
         triggered_keywords = extract_keywords(query)
         consensus = estimate_consensus()
 
+        
         # Display outputs      
-        answer = st.session_state.agent_executor.run(input=query)
-        # st.write(answer["output"])
-        st.write(answer)
-
-        # st.subheader("Answer")
-        # output_container = st.empty()
-        # if with_clear_container(submit_button):
-        #     output_container = output_container.container()
-        #     output_container.chat_message("user").write(query)
-            
-        #     answer_container = output_container.chat_message("pfdr", avatar="🦜")
-        #     st_callback = StreamlitCallbackHandler(answer_container)
-        #     # cfg = RunnableConfig()
-        #     # cfg["callbacks"] = [st_callback]
-        #     answer = st.session_state.agent_executor.run(input=query, callbacks=[st_callback])
-        #     try:
-        #         answer_container.write(answer["output"])
-        #     except:
-        #         answer_container.write('No final answer')
+        answer = st.session_state.agent_executor.invoke({"input": query,})
+        st.write(answer["output"])
+        
+        with open(file_path, 'r') as file:
+            intermediate_steps = file.read()
+        
+        st.expander('Intermediate steps', expanded=False).write(intermediate_steps)
         # st.write(answer)
+
+
             
         with st.expander("Relevant papers", expanded=True):
-            st.dataframe(papers_df)
+            # st.dataframe(papers_df, hide_index=True)
+            st.data_editor(papers_df,
+                           column_config = {'Link':st.column_config.LinkColumn(display_text= 'https://ui.adsabs.harvard.edu/abs/(.*?)/abstract')}
+                           )
 
-        with st.expander("Embedding map", expanded=True):
+        with st.expander("Embedding map", expanded=False):
             st.bokeh_chart(embedding_plot)
         
         col1, col2 = st.columns(2)

requirements.txt

@@ -8,6 +8,7 @@ langchain
 langchain_openai
 langchain_community
 langchain_core
+langchainhub
 openai
 anthropic
 feedparser